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

來源原標題

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

作者

theanonymousone

原始標籤

hackernews

來源訊號

HN points 326　HN 留言 103

原始連結

https://artificialanalysis.ai/models/claude-opus-5-5

摘要原文

Artificial Analysis K Anthropic • Claude Opus 5.5 max • Proprietary model • Released September 2026 Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) Intelligence, Performance & Price Analysis Compare Try it out API Provider Benchmarks Model summary Intelligence Updated # 1 / 212 58 Artificial Analysis Intelligence Index 4 out of 4 units for Intelligence. Speed N/A Output tokens per second Unknown out of 4 units for Speed. Cost # 93 / 212 In $4.00 Out $20.00 Cache Discount 95% $5.98 Cost per Intelligence Index task 4 out of 4 units for Cost. Verbosity # 95 / 212 260M Output tokens from Intelligence Index 4 out of 4 units for 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 88M. 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). On average, it costs $5.98 per task to evaluate Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) on the Intelligence Index. Technical specifications 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 212 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 Updated Intelligence Artificial Analysis Intelligence Index · Higher is better Speed Output tokens per second · Higher is better Cost per Task Weighted average cost (USD) per Intelligence Index task · Lower is better Prompt Options Intelligence Updated Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index v4.3.2 incorporates 10 evaluations: 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 28 of 674 models Add model from specific provider 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 / Proprietary Reasoning / Non-Reasoning Text Only / Multimodal Inputs Artificial Analysis Intelligence Index by Open Weights / Proprietary Artificial Analysis Intelligence Index v4.3.2 incorporates 10 evaluations: 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 28 of 674 models Add model from specific provider Proprietary Open Weights Open Weights (Commercial Use Restricted) 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 Finance & Accounting Strategy & Ops Legal Engineering Economics Artificial Analysis Finance & Accounting Index Incorporates 7 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, Humanity's Last Exam, AutomationBench-AA, AA-LCR v1.1, GDP.pdf · Higher is better 28 of 171 models Add model from specific provider Benchmarks Intelligence Evaluations Intelligence evaluations measured independently by Artificial Analysis · Higher is better Coding Agentic Tool Use Private Dataset User Interaction Finance Medical Legal Intelligence Index Long Context Multimodal Instruction Following Faithfulness Writing Business See more 18 of 26 evaluations 28 of 674 models Add model from specific provider AA-Briefcase v1.1 Updated Agentic knowledge work, (Elo-500)/2000 GDPval-AA v2.1 Updated Agentic real-world work tasks, (Elo-500)/2000 AutomationBench-AA Updated Agentic SaaS workflows Terminal-Bench 4.0 New Agentic coding & terminal use SciCode Coding Humanity's Last Exam Reasoning & knowledge GDP.pdf New Professional document reasoning, All-pass CritPt Under review Physics reasoning AA-Omniscience Accuracy Knowledge AA-Omniscience Non-Hallucination Rate 1 - hallucination rate AA-LCR v1.1 Long context reasoning Harvey LAB-AA Legal agentic work, criterion pass rate EnterpriseOps-Gym-AA Agentic business operations AA-AnalystAgent Quantitative analysis on spreadsheets & documents 𝜏³-Banking Agentic tool use ITBench-AA Kubernetes incident root-cause analysis MMMU-Pro Visual reasoning MLCR-AA New 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 v1.1 Updated AA-Briefcase Elo AA-Briefcase Rubric Score (%) Analytical Quality & Presentation Elo AA-Briefcase Elo AA-Briefcase v1.1 is an agentic knowledge work benchmark developed by Artificial Analysis. AA-Briefcase Elo is a combined metric that aggregates rubric pass rate, analytical quality Elo and presentation Elo · Higher is better 28 of 192 models Add model from specific provider 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 Accuracy AA-Omniscience Hallucination Rate 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. 28 of 549 models Add model from specific provider AA-Omniscience Index AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. (326 points, 103 comments on Hacker News)