Claude Opus 5.5 Intelligence, Performance and Price Analysis (Max)

Proprietary model Released September 2026 Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) Intelligence, Performance & Price Analysis Model summary IntelligenceUpdated Speed Cost Verbosity Comparison Summary 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. Technical specifications This page shows the reasoning version of this model. A non-reasoning variant may also exist. Supports: text and image Supports: text 206 models in this class 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 Intelligence Speed Cost per Task IntelligenceUpdated Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index v4.3.2 includes: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them. Artificial Analysis Intelligence Index by Open Weights / Proprietary Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index v4.3.2 includes: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them. Open Weights Indicates whether the model weights are available. Models are labelled as 'Commercial Use Restricted' if commercial use is limited by conditions, and as 'Non-commercial' if the license prohibits commercial use. Capability Indexes Measures the performance of models on specific capabilities and industries Artificial Analysis Finance & Accounting Index Benchmarks Intelligence Evaluations Agentic knowledge work, (Elo-500)/2000 Agentic real-world work tasks, (Elo-500)/2000 Agentic SaaS workflows Agentic coding & terminal use Coding Reasoning & knowledge 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 Medical long context reasoning Intelligence Evaluation Relevance While model intelligence generally translates across use cases, specific evaluations may be more relevant for certain use cases. Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index v4.3.2 includes: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them. AA-Briefcase v1.1Updated AA-Briefcase Elo AA-Briefcase Elo AA-Briefcase Elo is a combined metric that aggregates analytical quality Elo, presentation Elo, and rubric pass rate, with rubric performance converted into Elo via synthetic head-to-head matches. Elo and 95% confidence interval bounds are clamped at 0. AA-Omniscience AA-Omniscience Index AA-Omniscience Index AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. Intelligence Index Comparisons Intelligence Index vs. Cost per Intelligence Index Task Cost per Intelligence Index Task Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight. Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index v4.3.2 includes: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them. Token Use Output Tokens per Intelligence Index Task Output Tokens per Intelligence Index Task The number of tokens required per Intelligence Index task. This is calculated by multiplying the output tokens per eval by the relative weights of each benchmark in the Intelligence Index, then dividing by task count (excluding repeats). Cost Cost per Intelligence Index Task Cost per Intelligence Index Task Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight. Cost to Run Artificial Analysis Intelligence Index Cost to Run Artificial Analysis Intelligence Index The cost to run the evaluations in the Artificial Analysis Intelligence Index, calculated using the model's input, cache hit, cache write, reasoning, and answer token prices and the number of tokens used across evaluations (excluding repeats). Pricing: Cache Hit, Input, and Output Cache Hit Price per token for cached prompts (previously processed), typically offering a significant discount compared to regular input price, represented as USD per million tokens. The values shown here are the cache hit price; cache write and cache storage are billed separately and vary by provider — see "Cache pricing by provider" for detail. Context Window Context Window Context Window for RAG Larger context windows are relevant to RAG (Retrieval Augmented Generation) LLM workflows which typically involve reasoning and information retrieval of large amounts of data. Context Window Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model). Frequently Asked Questions Common questions about Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) When was Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) released? Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) was released on September 22, 2026. Who created Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)? Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) was created by Anthropic. How intelligent is Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)? 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). How much does Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) cost? 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. What is Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) API pricing? 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 How verbose is Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)? 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). Is Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) a reasoning model? 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. What input modalities does Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) support? Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) supports text and image input. What output modalities does Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) support? Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) supports text output. Can Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) process images? Yes, Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) supports image input and can analyze, describe, and answer questions about images. Is Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) multimodal? Yes, Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) is multimodal. It can process text and image input and generate text output. What is the context window of Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)? 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. Is Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) open source? No, Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) is proprietary. The model weights are not publicly available. How many parameters does Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) have? 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. How does Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) perform on benchmarks? 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. Is Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) available via API? Yes, Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) is available via API through 1 provider. Compare API providers Where can I use Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)? Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) is available through 1 API provider. Compare providers