Model summary
IntelligenceUpdated
Speed
Input Price
Output Price
Verbosity
Claude Sonnet 5 (Adaptive Reasoning, Max Effort) is amongst the leading models in intelligence and well priced when comparing to other models of similar price. The model supports text and image input, outputs text, and has a 1m tokens context window.
Claude Sonnet 5 (Adaptive Reasoning, Max Effort) scores 53 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 8). When evaluating the Intelligence Index, it generated 300M tokens, which is very verbose in comparison to the average of 37M.
Pricing for Claude Sonnet 5 (Adaptive Reasoning, Max Effort) is $0.00 per 1M input tokens (competitively priced, average: $0.00) and $0.00 per 1M output tokens (competitively priced, average: $0.00).
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image |
| Output modality | Supports: text |
| Context window | 1m ~1500 A4 pages of size 12 Arial font |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
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Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
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<$0.15 per 1M tokens
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$0.15–$1 per 1M tokens
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$1 per 1M tokens Highlights
IntelligenceUpdated #
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
[GDPval-AA v2](/evaluations/gdpval-aa)Updated
Agentic real-world work tasks, (Elo-500)/2000
[𝜏³-Banking](/evaluations/tau3-banking)New
Agentic tool use
Agentic coding & terminal use
Coding
Reasoning & knowledge
Scientific reasoning
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
[AA-Briefcase](/evaluations/aa-briefcase)New
Agentic knowledge work, (Elo-500)/2000
Instruction following
Long-horizon agentic tasks
Kubernetes incident root-cause analysis
Visual reasoning
AA-BriefcaseNew #
AA-Briefcase Elo
Openness #
Artificial Analysis Openness Index: Score
Intelligence Index Comparisons #
Intelligence vs. Cost per Intelligence Index Task
Token UseUpdated #
Output Tokens per Intelligence Index Task
Price and CostUpdated #
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window #
Context Window
SpeedUpdated #
Measured by Output Speed (tokens per second)
Output Speed
Time per Intelligence Index Task
Latency #
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time #
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only) #
Model Size: Total and Active Parameters
Frequently Asked Questions #
Common questions about Claude Sonnet 5 (Adaptive Reasoning, Max Effort)
Claude Sonnet 5 (Adaptive Reasoning, Max Effort) was released on June 30, 2026.
Claude Sonnet 5 (Adaptive Reasoning, Max Effort) was created by Anthropic.
Claude Sonnet 5 (Adaptive Reasoning, Max Effort) scores 53 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 8).
When evaluated on the Intelligence Index, Claude Sonnet 5 (Adaptive Reasoning, Max Effort) generated 300M output tokens, which is at the higher end compared to other reasoning models in a similar price tier (median: 37M).
Yes, Claude Sonnet 5 (Adaptive Reasoning, Max Effort) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Claude Sonnet 5 (Adaptive Reasoning, Max Effort) supports text and image input.
Claude Sonnet 5 (Adaptive Reasoning, Max Effort) supports text output.
Yes, Claude Sonnet 5 (Adaptive Reasoning, Max Effort) supports image input and can analyze, describe, and answer questions about images.
Yes, Claude Sonnet 5 (Adaptive Reasoning, Max Effort) is multimodal. It can process text and image input and generate text output.
Claude Sonnet 5 (Adaptive Reasoning, Max Effort) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
No, Claude Sonnet 5 (Adaptive Reasoning, Max Effort) is proprietary. The model weights are not publicly available.
Claude Sonnet 5 (Adaptive Reasoning, Max Effort) is a proprietary model and Anthropic has not disclosed the model size or parameter count.
Claude Sonnet 5 (Adaptive Reasoning, Max Effort) achieves a score of 53 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
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