Claude Fable 5.2 scores 65 on Artificial Analysis, highest so far

Artificial Analysis K Anthropic • Claude Fable 5.2 max • Proprietary model • Released November 2026 Claude Fable 5.2 (Max, Default Fallback) Intelligence, Performance & Price Analysis Compare Try it out API Provider Benchmarks Model summary Intelligence Updated # 1 / 74 65 Artificial Analysis Intelligence Index 4 out of 4 units for Intelligence. Performance # 71 / 72 Time to first answer token 215.95s Output speed 98 tok/s 46.4 Time per Intelligence Index task (minutes) 4 out of 4 units for Performance. Cost # 73 / 73 In $8.00 Out $40.00 Cache discount 98% $26.54 Cost per Intelligence Index task 4 out of 4 units for Cost. Verbosity # 72 / 73 Input tokens 28.3B Output/input 0.97% 275M Output tokens from Intelligence Index 4 out of 4 units for Verbosity. Comparison Summary Claude Fable 5.2 (Max, Default Fallback) is amongst the leading models in intelligence, but particularly expensive when comparing to other models of similar price. It's also notably slow per task and very verbose. The model supports text and image input, outputs text, and has a 1M tokens context window. Claude Fable 5.2 (Max, Default Fallback) scores 65 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 40). When evaluating the Intelligence Index, it generated 275M tokens, which is very verbose in comparison to the median of 72.8M. Pricing for Claude Fable 5.2 (Max, Default Fallback) is $8.00 per 1M input tokens (expensive, median: $2.00) and $40.00 per 1M output tokens (expensive, median: $10.00). On average, it costs $26.54 per task to evaluate Claude Fable 5.2 (Max, Default Fallback) on the Intelligence Index. At 46.4 minutes per Intelligence Index task, Claude Fable 5.2 (Max, Default Fallback) is notably slow compared with the median of 12.7 minutes for comparable models (lower is better). 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 237 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 Updated Intelligence Artificial Analysis Intelligence Index · Higher is better No publicly available API Time per Task Inference time (minutes) per Intelligence Index task · Lower is better No publicly available API Cost per Task Weighted average cost (USD) per Intelligence Index task · Lower is better No publicly available API Intelligence Updated Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index v5.0.1 incorporates 9 evaluations: AA-Briefcase v1.1, AutomationBench-AA, Terminal-Bench 4.0, FrontierCode 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), and Terminal-Bench-Science 0.1 27 of 734 models Add model from specific provider No publicly available API Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index v5.0.1 includes: AA-Briefcase v1.1, AutomationBench-AA, Terminal-Bench 4.0, FrontierCode 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), Terminal-Bench-Science 0.1 . 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 v5.0.1 incorporates 9 evaluations: AA-Briefcase v1.1, AutomationBench-AA, Terminal-Bench 4.0, FrontierCode 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), and Terminal-Bench-Science 0.1 27 of 734 models Add model from specific provider No publicly available API Proprietary Open Weights (Commercial Use Restricted) Open Weights Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index v5.0.1 includes: AA-Briefcase v1.1, AutomationBench-AA, Terminal-Bench 4.0, FrontierCode 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), Terminal-Bench-Science 0.1 . 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. Intelligence Index vs. Cost per Task Intelligence Index vs. Time per Task Intelligence Index vs. Output Tokens per Task Intelligence Index vs. Cost per Task Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task 27 of 734 models Most attractive quadrant Pareto line Xiaomi OpenAI Anthropic InclusionAI SpaceXAI Kimi Reflection Google Alibaba Z AI Tencent Meta NVIDIA Thinking Machines Mistral DeepSeek 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 v5.0.1 includes: AA-Briefcase v1.1, AutomationBench-AA, Terminal-Bench 4.0, FrontierCode 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), Terminal-Bench-Science 0.1 . See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them. Capability Indexes Measures the performance of models on specific capabilities and industries Finance & Accounting Strategy & Ops Legal Healthcare & Medical Engineering Economics Artificial Analysis Finance & Accounting Index Incorporates 5 evaluations: AA-Briefcase v1.1, AA-Omniscience v1.1, HLE-Diamond, AutomationBench-AA, GDP.pdf · Higher is better 27 of 129 models Add model from specific provider No publicly available API Benchmarks Evaluations Evaluations measured independently by Artificial Analysis · AA-PersonalityBench scores are percentile ranks from 1 to 100 Coding Agentic Tool Use Private Dataset User Interaction Finance Medical Legal Intelligence Index Personality Long Context Multimodal Instruction Following Faithfulness Writing Business See more 23 of 44 evaluations 27 of 734 models Add model from specific provider No publicly available API AA-Briefcase v1.1 Agentic knowledge work, Elo AA-Omniscience v1.1 Accuracy Updated Knowledge AA-Omniscience v1.1 Non-Hallucination Rate Updated 1 - hallucination rate AutomationBench-AA Agentic SaaS workflows Terminal-Bench-Science 0.1 New Agentic scientific research workflows in a terminal FrontierCode 2.0 New Agentic software engineering in open-source repositories HLE-Diamond New Reasoning & knowledge GDP.pdf Professional document reasoning, All-pass Terminal-Bench 4.0 Agentic coding & terminal use CritPt v2 (Hard Subset) Physics reasoning AA-AnalystAgent Quantitative analysis on spreadsheets & documents Harvey LAB-AA v1.1 Updated Legal agentic work, Hallucination-Gated All-Pass Rate EnterpriseOps-Gym-AA Agentic business operations GDPval-AA v2.1 Agentic real-world work tasks, Elo AA-3