Claude Opus 5.5 Intelligence, Performance and Price Analysis

Anthropic's Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback), released September 22, 2026, scored 58 on the Artificial Analysis Intelligence Index, well above the median of 25 for comparable models, according to Artificial Analysis. The model supports text and image input, outputs text, and carries a 1M-token context window, priced at $4.00 per 1M input tokens and $20.00 per 1M output tokens versus medians of $2.00 and $10.00. Evaluating it on the Intelligence Index generated 260M tokens against a median of 92M and cost $8,708.20.

Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback Intelligence, Performance & Price Analysis Model summary Speed Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback is amongst the leading models in intelligence, but somewhat expensive 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 Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback scores 58 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models median: 25 . When evaluating the Intelligence Index, it generated 260M tokens, which is very verbose in comparison to the median of 92M. Pricing for Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback is $4.00 per 1M input tokens somewhat expensive, median: $2.00 and $20.00 per 1M output tokens somewhat expensive, median: $10.00 . In total, it cost $8708.20 to evaluate Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback on the Intelligence Index. | Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. | |---|---| | Input modality | Supports: text and 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 - Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio: - <$0.15 per 1M tokens - $0.15–$1 per 1M tokens - $1 per 1M tokens Highlights Speed IntelligenceUpdated Artificial Analysis Intelligence Index https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index Artificial Analysis Intelligence Index by Open Weights / Proprietary Measures the performance of models on specific capabilities and industries Artificial Analysis Finance & Accounting Index https://artificialanalysis.ai/models/capabilities/finance-and-accounting Intelligence Evaluations AA-Briefcase v1.1 https://artificialanalysis.ai/evaluations/aa-briefcase Updated Agentic knowledge work, Elo-500 /2000 GDPval-AA v2.1 https://artificialanalysis.ai/evaluations/gdpval-aa Updated Agentic real-world work tasks, Elo-500 /2000 AutomationBench-AA https://artificialanalysis.ai/evaluations/automationbench-aa Updated Agentic SaaS workflows Agentic coding & terminal use Coding Reasoning & knowledge GDP.pdf https://artificialanalysis.ai/evaluations/gdp-pdf New Professional document reasoning, All-pass Physics reasoning Knowledge 1 - hallucination rate Long context reasoning Legal agentic work, criterion pass rate Agentic business operations Quantitative analysis on spreadsheets & documents Agentic tool use Kubernetes incident root-cause analysis Visual reasoning MLCR-AA https://artificialanalysis.ai/evaluations/mlcr-aa New Medical long context reasoning AA-Briefcase v1.1Updated AA-Briefcase Elo AA-Omniscience AA-Omniscience Index Intelligence Index Comparisons Intelligence Index vs. Cost per Intelligence Index Task Token Use Output Tokens per Intelligence Index Task Cost Cost per Intelligence Index Task Cost to Run Artificial Analysis Intelligence Index Pricing: Cache Hit, Input, and Output Context Window Context Window Frequently Asked Questions Common questions about Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback was released on September 22, 2026. Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback was created by Anthropic. Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback scores 58 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier median: 25 . Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback costs $4.00 per 1M input tokens somewhat higher than average, median: $2.00 and $20.00 per 1M output tokens somewhat higher than average, median: $10.00 , based on Anthropic's API. Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback costs $4.00 per 1M input tokens and $20.00 per 1M output tokens based on Anthropic's API . For a blended rate 7:2:1 cache hit/input/output ratio , this is $2.94 per 1M tokens. Pricing may vary by provider. Compare provider pricing https://artificialanalysis.ai/models/claude-opus-5-5/providers When evaluated on the Intelligence Index, Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback generated 260M output tokens, which is at the higher end compared to other reasoning models in a similar price tier median: 92M . Yes, Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer. Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback supports text and image input. Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback supports text output. Yes, Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback supports image input and can analyze, describe, and answer questions about images. Yes, Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback is multimodal. It can process text and image input and generate text output. Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback 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 Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback is proprietary. The model weights are not publicly available. Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback is a proprietary model and Anthropic has not disclosed the model size or parameter count. Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback achieves a score of 58 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding. Yes, Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback is available via API through 1 provider. Compare API providers https://artificialanalysis.ai/models/claude-opus-5-5/providers Claude Opus 5.5 Adaptive Reasoning, Max Effort, Default Fallback is available through 1 API provider. Compare providers https://artificialanalysis.ai/models/claude-opus-5-5/providers