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Show HN: Modelparams.dev: AI Model Parameters Database (UI, API, NPM)

Modelparams.dev launched an open, community-maintained catalog of LLM model parameters, offering a UI, API, and NPM package. The database currently covers 191 models from providers like OpenAI, detailing parameters such as max tokens, temperature, and top P.

read56 min views1 publishedJun 18, 2026

#

Every LLM parameter,

for every model. An open, community-maintained catalog of LLM model parameters. Browse the UI below, query the API, or install the npm package.

Access type

Providers

Parameters

191 of 191 models

OpenAI #

#

Chatgpt 4o Latest OpenAI 3 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 2 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…2 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied. β€”
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value. β€”

#

Gpt 3.5 Turbo OpenAI 3 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 2 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…2 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied. β€”
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value. β€”

#

Gpt 4 Turbo OpenAI 3 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 2 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…2 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied. β€”
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value. β€”

#

Gpt 4 Turbo 2024-04-09 OpenAI 3 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 2 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…2 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied. β€”
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value. β€”

#

Gpt 4.1 OpenAI 3 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 2 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…2 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied. β€”
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value. β€”

#

Gpt 4.1 Mini OpenAI 3 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 2 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…2 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied. β€”
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value. β€”

#

Gpt 4.1 Nano OpenAI 3 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 2 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…2 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied. β€”
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value. β€”

#

GPT-4o OpenAI 3 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 2 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…2 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied. β€”
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value. β€”

#

Gpt 4o 2024-11-20 OpenAI 3 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 2 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…2 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied. β€”
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value. β€”

#

GPT-4o mini OpenAI 3 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 2 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…2 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied. β€”
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value. β€”

#

Gpt 5 OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (minimal | low | medium | high) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

Gpt 5 Chat Latest OpenAI 1 param

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

#

Gpt 5 Mini OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (minimal | low | medium | high) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

Gpt 5 Nano OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (minimal | low | medium | high) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

Gpt 5.1 OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (none | low | medium | high) | "none" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

Gpt 5.1 Codex Max OpenAI Subscription 3 params

Reasoning 2 params

Parameter Type Default Description Condition
Reasoning effort
reasoning.effort
enum (minimal low medium high xhigh)
Reasoning summary
reasoning.summary

enum (auto | concise | detailed | none) | "auto" | Controls the level of reasoning summary returned with the response. | β€” | Output 1 param

Parameter Type Default Description Condition
Verbosity
text.verbosity

enum (low | medium | high) | "medium" | Controls how concise or detailed the model's final text response should be. | β€” |

#

Gpt 5.1 Codex OpenAI Subscription 3 params

Reasoning 2 params

Parameter Type Default Description Condition
Reasoning effort
reasoning.effort
enum (minimal low medium high) "medium"
Reasoning summary
reasoning.summary

enum (auto | concise | detailed | none) | "auto" | Controls the level of reasoning summary returned with the response. | β€” | Output 1 param

Parameter Type Default Description Condition
Verbosity
text.verbosity

enum (low | medium | high) | "medium" | Controls how concise or detailed the model's final text response should be. | β€” |

#

Gpt 5.2 OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (none | low | medium | high | xhigh) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

Gpt 5.2 Codex OpenAI Subscription 3 params

Reasoning 2 params

Parameter Type Default Description Condition
Reasoning effort
reasoning.effort
enum (minimal low medium high xhigh)
Reasoning summary
reasoning.summary

enum (auto | concise | detailed | none) | "auto" | Controls the level of reasoning summary returned with the response. | β€” | Output 1 param

Parameter Type Default Description Condition
Verbosity
text.verbosity

enum (low | medium | high) | "medium" | Controls how concise or detailed the model's final text response should be. | β€” |

#

Gpt 5.2 OpenAI Subscription 3 params

Reasoning 2 params

Parameter Type Default Description Condition
Reasoning effort
reasoning.effort
enum (minimal low medium high xhigh)
Reasoning summary
reasoning.summary

enum (auto | concise | detailed | none) | "auto" | Controls the level of reasoning summary returned with the response. | β€” | Output 1 param

Parameter Type Default Description Condition
Verbosity
text.verbosity

enum (low | medium | high) | "medium" | Controls how concise or detailed the model's final text response should be. | β€” |

#

Gpt 5.3 Codex OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (low | medium | high | xhigh) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

Gpt 5.3 Codex Spark OpenAI Subscription 3 params

Reasoning 2 params

Parameter Type Default Description Condition
Reasoning effort
reasoning.effort
enum (minimal low medium high xhigh)
Reasoning summary
reasoning.summary

enum (auto | concise | detailed | none) | "auto" | Controls the level of reasoning summary returned with the response. | β€” | Output 1 param

Parameter Type Default Description Condition
Verbosity
text.verbosity

enum (low | medium | high) | "medium" | Controls how concise or detailed the model's final text response should be. | β€” |

#

Gpt 5.3 Codex OpenAI Subscription 3 params

Reasoning 2 params

Parameter Type Default Description Condition
Reasoning effort
reasoning.effort
enum (minimal low medium high xhigh)
Reasoning summary
reasoning.summary

enum (auto | concise | detailed | none) | "auto" | Controls the level of reasoning summary returned with the response. | β€” | Output 1 param

Parameter Type Default Description Condition
Verbosity
text.verbosity

enum (low | medium | high) | "medium" | Controls how concise or detailed the model's final text response should be. | β€” |

#

Gpt 5.4 OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (none | low | medium | high | xhigh) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

Gpt 5.4 Mini OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (none | low | medium | high | xhigh) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

Gpt 5.4 Mini OpenAI Subscription 3 params

Reasoning 2 params

Parameter Type Default Description Condition
Reasoning effort
reasoning.effort
enum (minimal low medium high xhigh)
Reasoning summary
reasoning.summary

enum (auto | concise | detailed | none) | "auto" | Controls the level of reasoning summary returned with the response. | β€” | Output 1 param

Parameter Type Default Description Condition
Verbosity
text.verbosity

enum (low | medium | high) | "medium" | Controls how concise or detailed the model's final text response should be. | β€” |

#

Gpt 5.4 Nano OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (none | low | medium | high | xhigh) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

Gpt 5.4 Pro OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (medium | high | xhigh) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

Gpt 5.4 Pro OpenAI Subscription 3 params

Reasoning 2 params

Parameter Type Default Description Condition
Reasoning effort
reasoning.effort
enum (medium high xhigh) "medium" Controls how much reasoning the model should perform before producing an answer.
Reasoning summary
reasoning.summary

enum (auto | concise | detailed | none) | "auto" | Controls the level of reasoning summary returned with the response. | β€” | Output 1 param

Parameter Type Default Description Condition
Verbosity
text.verbosity

enum (low | medium | high) | "medium" | Controls how concise or detailed the model's final text response should be. | β€” |

#

Gpt 5.4 OpenAI Subscription 3 params

Reasoning 2 params

Parameter Type Default Description Condition
Reasoning effort
reasoning.effort
enum (minimal low medium high xhigh)
Reasoning summary
reasoning.summary

enum (auto | concise | detailed | none) | "auto" | Controls the level of reasoning summary returned with the response. | β€” | Output 1 param

Parameter Type Default Description Condition
Verbosity
text.verbosity

enum (low | medium | high) | "medium" | Controls how concise or detailed the model's final text response should be. | β€” |

#

Gpt 5.5 OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (none | low | medium | high | xhigh) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

Gpt 5.5 Pro OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (medium | high | xhigh) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

Gpt 5.5 Pro OpenAI Subscription 3 params

Reasoning 2 params

Parameter Type Default Description Condition
Reasoning effort
reasoning.effort
enum (medium high xhigh) "medium" Controls how much reasoning the model should perform before producing an answer.
Reasoning summary
reasoning.summary

enum (auto | concise | detailed | none) | "auto" | Controls the level of reasoning summary returned with the response. | β€” | Output 1 param

Parameter Type Default Description Condition
Verbosity
text.verbosity

enum (low | medium | high) | "medium" | Controls how concise or detailed the model's final text response should be. | β€” |

#

Gpt 5.5 OpenAI Subscription 3 params

Reasoning 2 params

Parameter Type Default Description Condition
Reasoning effort
reasoning.effort
enum (minimal low medium high xhigh)
Reasoning summary
reasoning.summary

enum (auto | concise | detailed | none) | "auto" | Controls the level of reasoning summary returned with the response. | β€” | Output 1 param

Parameter Type Default Description Condition
Verbosity
text.verbosity

enum (low | medium | high) | "medium" | Controls how concise or detailed the model's final text response should be. | β€” |

#

o1 OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (low | medium | high | xhigh) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

o1-mini OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (minimal | low | medium | high) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

O1 Preview OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (minimal | low | medium | high) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

o3 OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (low | medium | high | xhigh) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

o3-mini OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (low | medium | high | xhigh) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

O3 Pro OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (low | medium | high | xhigh) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

#

o4-mini OpenAI 2 params

Length 1 param

Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens
integer (16…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 1 param

Parameter Type Default Description Condition
Reasoning effort
reasoning_effort

enum (low | medium | high | xhigh) | "medium" | Controls how much reasoning the model should perform before producing an answer. | β€” |

Anthropic #

#

Claude 3.5 Haiku 20241022 Anthropic 4 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"adaptive", "enabled"}
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"adaptive", "enabled"} or temperature β‰  1
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"adaptive", "enabled"}

#

Claude 3.5 Haiku Latest Anthropic 4 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"adaptive", "enabled"}
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"adaptive", "enabled"} or temperature β‰  1
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"adaptive", "enabled"}

#

Claude 3.5 Sonnet 20241022 Anthropic 4 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"adaptive", "enabled"}
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"adaptive", "enabled"} or temperature β‰  1
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"adaptive", "enabled"}

#

Claude 3.5 Sonnet Latest Anthropic 4 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"adaptive", "enabled"}
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"adaptive", "enabled"} or temperature β‰  1
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"adaptive", "enabled"}

#

Claude 3.7 Sonnet 20250219 Anthropic 6 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"adaptive", "enabled"}
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"adaptive", "enabled"} or temperature β‰  1
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"adaptive", "enabled"}

Reasoning 2 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"

#

Claude 3.7 Sonnet Latest Anthropic 6 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"adaptive", "enabled"}
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"adaptive", "enabled"} or temperature β‰  1
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"adaptive", "enabled"}

Reasoning 2 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"

#

Claude 3 Opus 20240229 Anthropic 4 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"adaptive", "enabled"}
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"adaptive", "enabled"} or temperature β‰  1
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"adaptive", "enabled"}

#

Claude 3 Opus Latest Anthropic 4 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"adaptive", "enabled"}
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"adaptive", "enabled"} or temperature β‰  1
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"adaptive", "enabled"}

#

Claude Fable 5 Anthropic 4 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 3 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (adaptive) β€” Only adaptive thinking is supported; omit the parameter entirely to run without thinking (an explicit disabled value is rejected). β€”
Thinking display
thinking.display
enum (summarized omitted) "omitted" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type = "adaptive"
Effort
output_config.effort

enum (low | medium | high | xhigh | max) | "high" | Controls Anthropic response thoroughness and token spend. | β€” |

#

Claude Fable 5 Anthropic Subscription 4 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 3 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (adaptive) β€” Only adaptive thinking is supported; omit the parameter entirely to run without thinking (an explicit disabled value is rejected). β€”
Thinking display
thinking.display
enum (summarized omitted) "omitted" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type = "adaptive"
Effort
output_config.effort

enum (low | medium | high | xhigh | max) | "high" | Controls Anthropic response thoroughness and token spend. | β€” |

#

Claude Haiku 4 Anthropic 6 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"adaptive", "enabled"}
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"adaptive", "enabled"} or temperature β‰  1
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"adaptive", "enabled"}

Reasoning 2 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"

#

Claude Haiku 4.5 Anthropic 6 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"adaptive", "enabled"}
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"adaptive", "enabled"} or temperature β‰  1
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"adaptive", "enabled"}

Reasoning 2 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"

#

Claude Haiku 4.5 20251001 Anthropic 6 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type = "enabled" or top_p β‰  null
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type = "enabled" or temperature β‰  null
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type = "enabled"

Reasoning 2 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"

#

Claude Haiku 4.5 20251001 Anthropic Subscription 6 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type = "enabled" or top_p β‰  null
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type = "enabled" or temperature β‰  null
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type = "enabled"

Reasoning 2 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"

#

Claude Haiku 4.5 Anthropic Subscription 6 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"adaptive", "enabled"}
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"adaptive", "enabled"} or temperature β‰  1
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"adaptive", "enabled"}

Reasoning 2 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"

#

Claude Haiku 4 Anthropic Subscription 6 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"adaptive", "enabled"}
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"adaptive", "enabled"} or temperature β‰  1
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"adaptive", "enabled"}

Reasoning 2 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"

#

Claude Opus 4.1 20250805 Anthropic 7 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type = "enabled" or top_p β‰  null
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type = "enabled" or temperature β‰  null
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type = "enabled"

Reasoning 3 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"
Thinking display
thinking.display
enum (summarized omitted) "summarized" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type = "enabled"

#

Claude Opus 4.1 20250805 Anthropic Subscription 7 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type = "enabled" or top_p β‰  null
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type = "enabled" or temperature β‰  null
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type = "enabled"

Reasoning 3 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"
Thinking display
thinking.display
enum (summarized omitted) "summarized" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type = "enabled"

#

Claude Opus 4 20250514 Anthropic 7 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type = "enabled"
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type = "enabled"
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type = "enabled"

Reasoning 3 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"
Thinking display
thinking.display
enum (summarized omitted) "summarized" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type = "enabled"

#

Claude Opus 4 20250514 Anthropic Subscription 7 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type = "enabled"
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type = "enabled"
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type = "enabled"

Reasoning 3 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"
Thinking display
thinking.display
enum (summarized omitted) "summarized" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type = "enabled"

#

Claude Opus 4.5 20251101 Anthropic 8 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type = "enabled" or top_p β‰  null
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type = "enabled" or temperature β‰  null
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type = "enabled"

Reasoning 4 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"
Thinking display
thinking.display
enum (summarized omitted) "summarized" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type = "enabled"
Effort
output_config.effort

enum (low | medium | high) | "high" | Controls Anthropic response thoroughness and token spend. | β€” |

#

Claude Opus 4.5 20251101 Anthropic Subscription 8 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type = "enabled" or top_p β‰  null
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type = "enabled" or temperature β‰  null
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type = "enabled"

Reasoning 4 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"
Thinking display
thinking.display
enum (summarized omitted) "summarized" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type = "enabled"
Effort
output_config.effort

enum (low | medium | high) | "high" | Controls Anthropic response thoroughness and token spend. | β€” |

#

Claude Opus 4.6 Anthropic 8 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"enabled", "adaptive"} or top_p β‰  null
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"enabled", "adaptive"} or temperature β‰  null
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"enabled", "adaptive"}

Reasoning 4 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled adaptive enabled) "disabled" Controls the Anthropic thinking mode values supported by this model.
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"
Thinking display
thinking.display
enum (summarized omitted) "summarized" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type ∈ {"adaptive", "enabled"}
Effort
output_config.effort

enum (low | medium | high | max) | "high" | Controls Anthropic response thoroughness and token spend. | β€” |

#

Claude Opus 4.6 Anthropic Subscription 8 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"enabled", "adaptive"} or top_p β‰  null
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"enabled", "adaptive"} or temperature β‰  null
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"enabled", "adaptive"}

Reasoning 4 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled adaptive enabled) "disabled" Controls the Anthropic thinking mode values supported by this model.
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"
Thinking display
thinking.display
enum (summarized omitted) "summarized" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type ∈ {"adaptive", "enabled"}
Effort
output_config.effort

enum (low | medium | high | max) | "high" | Controls Anthropic response thoroughness and token spend. | β€” |

#

Claude Opus 4.7 Anthropic 4 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 3 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled adaptive) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Thinking display
thinking.display
enum (summarized omitted) "omitted" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type = "adaptive"
Effort
output_config.effort

enum (low | medium | high | xhigh | max) | "high" | Controls Anthropic response thoroughness and token spend. | β€” |

#

Claude Opus 4.7 Anthropic Subscription 4 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 3 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled adaptive) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Thinking display
thinking.display
enum (summarized omitted) "omitted" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type = "adaptive"
Effort
output_config.effort

enum (low | medium | high | xhigh | max) | "high" | Controls Anthropic response thoroughness and token spend. | β€” |

#

Claude Opus 4.8 Anthropic 4 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 3 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled adaptive) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Thinking display
thinking.display
enum (summarized omitted) "omitted" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type = "adaptive"
Effort
output_config.effort

enum (low | medium | high | xhigh | max) | "high" | Controls Anthropic response thoroughness and token spend. | β€” |

#

Claude Opus 4.8 Anthropic Subscription 4 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Reasoning 3 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled adaptive) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Thinking display
thinking.display
enum (summarized omitted) "omitted" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type = "adaptive"
Effort
output_config.effort

enum (low | medium | high | xhigh | max) | "high" | Controls Anthropic response thoroughness and token spend. | β€” |

#

Claude Opus 4 Anthropic Subscription 6 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"adaptive", "enabled"}
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"adaptive", "enabled"} or temperature β‰  1
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"adaptive", "enabled"}

Reasoning 2 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled adaptive enabled) "disabled" Controls the Anthropic thinking mode values supported by this model.
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"

#

Claude Sonnet 4 20250514 Anthropic 7 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type = "enabled"
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type = "enabled"
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type = "enabled"

Reasoning 3 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"
Thinking display
thinking.display
enum (summarized omitted) "summarized" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type = "enabled"

#

Claude Sonnet 4 20250514 Anthropic Subscription 7 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type = "enabled"
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type = "enabled"
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type = "enabled"

Reasoning 3 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled enabled) "disabled" Controls the Anthropic thinking mode values supported by this model. β€”
Budget tokens
thinking.budget_tokens
integer (1024…+∞) 4096 Maximum token budget Anthropic may use for extended thinking before producing the final answer.
Only when thinking.type = "enabled"
Thinking display
thinking.display
enum (summarized omitted) "summarized" Controls whether Anthropic returns summarized or omitted thinking content.
Only when thinking.type = "enabled"

#

Claude Sonnet 4.5 Anthropic 6 params

Length 1 param

Parameter Type Default Description Condition
Max tokens
max_tokens
integer (1…+∞) 4096 Maximum number of output tokens the model may generate. β€”

Sampling 3 params

Parameter Type Default Description Condition
Temperature
temperature
number (0…1 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Not when thinking.type ∈ {"adaptive", "enabled"}
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.
Not when thinking.type ∈ {"adaptive", "enabled"} or temperature β‰  1
Top K
top_k
integer (0…+∞) 0 Limits token sampling to the top K most likely next tokens.
Not when thinking.type ∈ {"adaptive", "enabled"}

Reasoning 2 params

Parameter Type Default Description Condition
Thinking mode
thinking.type
enum (disabled adaptive enabled) "disabled" Controls the Anthropic thinking mode values supported by this model.
── more in #large-language-models 4 stories Β· sorted by recency
── more on @modelparams.dev 3 stories trending now
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