Claude Fable 5.2 登顶 Artificial Analysis 智能指数

Artificial AnalysisKAnthropic•Claude Fable 5.2max•

Proprietary model

•

Released November 2026

Claude Fable 5.2 (Max, Default Fallback) Intelligence, Performance & Price Analysis

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Model summary

IntelligenceUpdated

#1 / 7465Artificial Analysis Intelligence Index4 out of 4 units for Intelligence.

Performance

N/ATime per Intelligence Index task (minutes)Unknown out of 4 units for Performance.

Cost

#73 / 73In $8.00Out$40.00Cache discount 98%$26.54Cost per Intelligence Index task4 out of 4 units for Cost.

Verbosity

#72 / 73Input tokens 28.3BOutput/input 0.97%275MOutput tokens from Intelligence Index4 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. 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.

Technical specifications

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:
• Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3 input/output price ratio:

Updated

Intelligence

Artificial Analysis Intelligence Index · Higher is betterNo publicly available API{"@context":"https://schema.org","@type":"Dataset","name":"Intelligence","creator":{"@type":"Organization","name":"Artificial Analysis","url":"https://artificialanalysis.ai"},"description":"Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis","variableMeasured":[{"@type":"PropertyValue","name":"Artificial Analysis Intelligence Index"}],"measurementTechnique":"Independent test run by Artificial Analysis on dedicated hardware.","spatialCoverage":"Worldwide","keywords":["analytics","llm","AI","benchmark","model","gpt","claude"],"license":"https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf","isAccessibleForFree":true,"citation":"Artificial Analysis (2025). LLM benchmarks dataset. https://artificialanalysis.ai"}

Time per Task

Inference time (minutes) per Intelligence Index task · Lower is betterNo publicly available API{"@context":"https://schema.org","@type":"Dataset","name":"Time per Task","creator":{"@type":"Organization","name":"Artificial Analysis","url":"https://artificialanalysis.ai"},"description":"Inference time (minutes) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis","variableMeasured":[{"@type":"PropertyValue","name":"Time Per Task"}],"measurementTechnique":"Independent test run by Artificial Analysis on dedicated hardware.","spatialCoverage":"Worldwide","keywords":["analytics","llm","AI","benchmark","model","gpt","claude"],"license":"https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf","isAccessibleForFree":true,"citation":"Artificial Analysis (2025). LLM benchmarks dataset. https://artificialanalysis.ai"}

Cost per Task

Weighted average cost (USD) per Intelligence Index task · Lower is betterNo publicly available API{"@context":"https://schema.org","@type":"Dataset","name":"Cost per Task","creator":{"@type":"Organization","name":"Artificial Analysis","url":"https://artificialanalysis.ai"},"description":"Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis","variableMeasured":[{"@type":"PropertyValue","name":"Cost Per Intelligence Index Task"}],"measurementTechnique":"Independent test run by Artificial Analysis on dedicated hardware.","spatialCoverage":"Worldwide","keywords":["analytics","llm","AI","benchmark","model","gpt","claude"],"license":"https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf","isAccessibleForFree":true,"citation":"Artificial Analysis (2025). LLM benchmarks dataset. https://artificialanalysis.ai"}

IntelligenceUpdated

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 0.127 of 734 modelsAdd model from specific providerNo publicly available API{"@context":"https://schema.org","@type":"Dataset","name":"Artificial Analysis Intelligence Index","creator":{"@type":"Organization","name":"Artificial Analysis","url":"https://artificialanalysis.ai"},"description":"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 · Evaluation results measured independently by Artificial Analysis","variableMeasured":[{"@type":"PropertyValue","name":"Intelligence Index"}],"measurementTechnique":"Independent test run by Artificial Analysis on dedicated hardware.","spatialCoverage":"Worldwide","keywords":["analytics","llm","AI","benchmark","model","gpt","claude"],"license":"https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf","isAccessibleForFree":true,"citation":"Artificial Analysis (2025). LLM benchmarks dataset. https://artificialanalysis.ai"}

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 / ProprietaryReasoning / Non-ReasoningText 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 0.127 of 734 modelsAdd model from specific providerNo publicly available APIProprietaryOpen Weights (Commercial Use Restricted)Open Weights{"@context":"https://schema.org","@type":"Dataset","name":"Artificial Analysis Intelligence Index by Open Weights / Proprietary","creator":{"@type":"Organization","name":"Artificial Analysis","url":"https://artificialanalysis.ai"},"description":"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 · Evaluation results measured independently by Artificial Analysis","variableMeasured":[{"@type":"PropertyValue","name":"Intelligence Index"}],"measurementTechnique":"Independent test run by Artificial Analysis on dedicated hardware.","spatialCoverage":"Worldwide","keywords":["analytics","llm","AI","benchmark","model","gpt","claude"],"license":"https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf","isAccessibleForFree":true,"citation":"Artificial Analysis (2025). LLM benchmarks dataset. https://artificialanalysis.ai"}

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 TaskIntelligence Index vs. Time per TaskIntelligence 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 task27 of 734 modelsMost attractive quadrantPareto lineXiaomiOpenAIAnthropicInclusionAISpaceXAIKimiReflectionGoogleAlibabaZ AITencentMetaNVIDIAThinking MachinesMistralDeepSeek

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 & AccountingStrategy & OpsLegalEngineeringEconomics

Artificial Analysis Finance & Accounting Index

Incorporates 5 evaluations: AA-Briefcase v1.1, AA-Omniscience v1.1, HLE-Diamond, AutomationBench-AA, GDP.pdf · Higher is better27 of 128 modelsAdd model from specific providerNo publicly available API{"@context":"https://schema.org","@type":"Dataset","name":"Artificial Analysis Finance & Accounting Index","creator":{"@type":"Organization","name":"Artificial Analysis","url":"https://artificialanalysis.ai"},"description":"Incorporates 5 evaluations: AA-Briefcase v1.1, AA-Omniscience v1.1, HLE-Diamond, AutomationBench-AA, GDP.pdf · Higher is better · Evaluation results measured independently by Artificial Analysis","variableMeasured":[{"@type":"PropertyValue","name":"Score"}],"measurementTechnique":"Independent test run by Artificial Analysis on dedicated hardware.","spatialCoverage":"Worldwide","keywords":["analytics","llm","AI","benchmark","model","gpt","claude"],"license":"https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf","isAccessibleForFree":true,"citation":"Artificial Analysis (2025). LLM benchmarks dataset. https://artificialanalysis.ai"}

Benchmarks

Evaluations

Evaluations measured independently by Artificial Analysis · AA-PersonalityBench scores are percentile ranks from 1 to 100CodingAgenticTool UsePrivate DatasetUser InteractionFinanceMedicalLegalIntelligence IndexPersonalityLong ContextMultimodalInstruction FollowingFaithfulnessWritingBusinessSee more23 of 44 evaluations27 of 734 modelsAdd model from specific providerNo publicly available APIAA-Briefcase v1.1

Agentic knowledge work, Elo

AA-Omniscience v1.1 AccuracyUpdated

Knowledge

AA-Omniscience v1.1 Non-Hallucination RateUpdated

1 - hallucination rate

AutomationBench-AA

Agentic SaaS workflows

Terminal-Bench-Science 0.1New

Agentic scientific research workflows in a terminal

FrontierCode 2.0New

Agentic software engineering in open-source repositories

HLE-DiamondNew

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 v1.1Updated

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-3DNew

Agentic interactive 3D experiences, Elo

Code2Video-AANew

Product and brand videos designed in code, Elo

ITBench-AA

Kubernetes incident root-cause analysis

MLCR-AAUpdated

Medical long context reasoning

MMMU-Pro

Visual reasoning

AA-PersonalityBench: Expressiveness ScoreNew

Rich, varied, well-crafted language

AA-PersonalityBench: Organization ScoreNew

Well-structured, scannable, answer-first

AA-PersonalityBench: Transparency ScoreNew

Truthful, acknowledges uncertainty, non-sycophantic

AA-PersonalityBench: Slop ScoreNew

Use of filler and generic language

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 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.

AA-Briefcase v1.1

AA-Briefcase EloAA-Briefcase Rubric ScoreAnalytical 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 better27 of 263 modelsAdd model from specific providerNo publicly available API{"@context":"https://schema.org","@type":"Dataset","name":"AA-Briefcase Elo","creator":{"@type":"Organization","name":"Artificial Analysis","url":"https://artificialanalysis.ai"},"description":"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 · Evaluation results measured independently by Artificial Analysis","variableMeasured":[{"@type":"PropertyValue","name":"Aa Briefcase Elo"}],"measurementTechnique":"Independent test run by Artificial Analysis on dedicated hardware.","spatialCoverage":"Worldwide","keywords":["analytics","llm","AI","benchmark","model","gpt","claude"],"license":"https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf","isAccessibleForFree":true,"citation":"Artificial Analysis (2025). LLM benchmarks dataset. https://artificialanalysis.ai"}

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 v1.1

AA-Omniscience Net ScoreAA-Omniscience AccuracyAA-Omniscience Hallucination Rate

AA-Omniscience Net Score

AA-Omniscience v1.1 Net Score (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.27 of 132 modelsAdd model from specific providerNo publicly available API{"@context":"https://schema.org","@type":"Dataset","name":"AA-Omniscience Net Score","creator":{"@type":"Organization","name":"Artificial Analysis","url":"https://artificialanalysis.ai"},"description":"AA-Omniscience v1.1 Net Score (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. · Evaluation results measured independently by Artificial Analysis","variableMeasured":[{"@type":"PropertyValue","name":"Omniscience Net Score"}],"measurementTechnique":"Independent test run by Artificial Analysis on dedicated hardware.","spatialCoverage":"Worldwide","keywords":["analytics","llm","AI","benchmark","model","gpt","claude"],"license":"https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf","isAccessibleForFree":true,"citation":"Artificial Analysis (2025). LLM benchmarks dataset. https://artificialanalysis.ai"}

AA-Omniscience Net Score

AA-Omniscience v1.1 Net Score (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.

Token Use

Output Tokens per TaskIntelligence Index vs. Output Tokens per TaskIntelligence Index Token UseIntelligence Index vs. Token Use

Output Tokens per Intelligence Index Task

Weighted average number of output tokens used to run one task in the Artificial Analysis Intelligence Index27 of 734 modelsNo publicly available APIAnswerReasoning{"@context":"https://schema.org","@type":"Dataset","name":"Output Tokens per Intelligence Index Task","creator":{"@type":"Organization","name":"Artificial Analysis","url":"https://artificialanalysis.ai"},"description":"Weighted average number of output tokens used to run one task in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis","variableMeasured":[{"@type":"PropertyValue","name":"Answer"},{"@type":"PropertyValue","name":"Reasoning"}],"measurementTechnique":"Independent test run by Artificial Analysis on dedicated hardware.","spatialCoverage":"Worldwide","keywords":["analytics","llm","AI","benchmark","model","gpt","claude"],"license":"https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf","isAccessibleForFree":true,"citation":"Artificial Analysis (2025). LLM benchmarks dataset. https://artificialanalysis.ai"}

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 TaskIntelligence Index vs. Cost per TaskEvaluation Breakdown

Cost per Intelligence Index Task

Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better27 of 734 modelsNo publicly available APIAnswerReasoningCache WriteCache HitInput{"@context":"https://schema.org","@type":"Dataset","name":"Cost per Intelligence Index Task","creator":{"@type":"Organization","name":"Artificial Analysis","url":"https://artificialanalysis.ai"},"description":"Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better · Evaluation results measured independently by Artificial Analysis","variableMeasured":[{"@type":"PropertyValue","name":"Answer"},{"@type":"PropertyValue","name":"Reasoning"},{"@type":"PropertyValue","name":"Cache Write"},{"@type":"PropertyValue","name":"Cache Hit"},{"@type":"PropertyValue","name":"Input"}],"measurementTechnique":"Independent test run by Artificial Analysis on dedicated hardware.","spatialCoverage":"Worldwide","keywords":["analytics","llm","AI","benchmark","model","gpt","claude"],"license":"https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf","isAccessibleForFree":true,"citation":"Artificial Analysis (2025). LLM benchmarks dataset. https://artificialanalysis.ai"}

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.

Intelligence Index Total CostIntelligence Index vs. Total Cost

Cost to Run Artificial Analysis Intelligence Index

Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index27 of 734 modelsAdd model from specific providerNo publicly available APIOutputReasoningCache WriteCache ReadNon-Cache Input{"@context":"https://schema.org","@type":"Dataset","name":"Cost to Run Artificial Analysis Intelligence Index","creator":{"@type":"Organization","name":"Artificial Analysis","url":"https://artificialanalysis.ai"},"description":"Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis","variableMeasured":[{"@type":"PropertyValue","name":"Answer Cost"},{"@type":"PropertyValue","name":"Reasoning Cost"},{"@type":"PropertyValue","name":"Cache Write Cost"},{"@type":"PropertyValue","name":"Cache Read Cost"},{"@type":"PropertyValue","name":"Non Cache Input Cost"}],"measurementTechnique":"Independent test run by Artificial Analysis on dedicated hardware.","spatialCoverage":"Worldwide","keywords":["analytics","llm","AI","benchmark","model","gpt","claude"],"license":"https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf","isAccessibleForFree":true,"citation":"Artificial Analysis (2025). LLM benchmarks dataset. https://artificialanalysis.ai"}

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).

Cache Hit, Input, and Output PricingBlended PriceBlended Price (Stacked)Cache DiscountIntelligence Index vs. PriceIntelligence Index vs. Price (Log, Inverted)Image Input Pricing

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens)27 of 734 modelsAdd model from specific providerNo publicly available APICache HitInputOutput{"@context":"https://schema.org","@type":"Dataset","name":"Pricing: Cache Hit, Input, and Output","creator":{"@type":"Organization","name":"Artificial Analysis","url":"https://artificialanalysis.ai"},"description":"Price (USD per M Tokens) · Evaluation results measured independently by Artificial Analysis","variableMeasured":[{"@type":"PropertyValue","name":"Pricing"}],"measurementTechnique":"Independent test run by Artificial Analysis on dedicated hardware.","spatialCoverage":"Worldwide","keywords":["analytics","llm","AI","benchmark","model","gpt","claude"],"license":"https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf","isAccessibleForFree":true,"citation":"Artificial Analysis (2025). LLM benchmarks dataset. https://artificialanalysis.ai"}

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.

4 more notes

Context Window

Context WindowIntelligence Index vs. Context Window

Context Window

Context window: tokens limit · Higher is better27 of 734 modelsAdd model from specific providerNo publicly available API{"@context":"https://schema.org","@type":"Dataset","name":"Context Window","creator":{"@type":"Organization","name":"Artificial Analysis","url":"https://artificialanalysis.ai"},"description":"Context window: tokens limit · Higher is better · Evaluation results measured independently by Artificial Analysis","variableMeasured":[{"@type":"PropertyValue","name":"Context Window Tokens"}],"measurementTechnique":"Independent test run by Artificial Analysis on dedicated hardware.","spatialCoverage":"Worldwide","keywords":["analytics","llm","AI","benchmark","model","gpt","claude"],"license":"https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf","isAccessibleForFree":true,"citation":"Artificial Analysis (2025). LLM benchmarks dataset. https://artificialanalysis.ai"}

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 Fable 5.2 (Max, Default Fallback)

When was Claude Fable 5.2 (Max, Default Fallback) released?

Claude Fable 5.2 (Max, Default Fallback) was released on November 9, 2026.

Who created Claude Fable 5.2 (Max, Default Fallback)?

Claude Fable 5.2 (Max, Default Fallback) was created by Anthropic.

How intelligent is Claude Fable 5.2 (Max, Default Fallback)?

Claude Fable 5.2 (Max, Default Fallback) scores 65 on the Artificial Analysis Intelligence Index, placing it well above average among other models in a similar price tier (median: 40).

How much does Claude Fable 5.2 (Max, Default Fallback) cost?

Claude Fable 5.2 (Max, Default Fallback) costs $8.00 per 1M input tokens (at the higher end, median: $2.00) and $40.00 per 1M output tokens (at the higher end, median: $10.00), based on Anthropic's API.

What is Claude Fable 5.2 (Max, Default Fallback) API pricing?

Claude Fable 5.2 (Max, Default Fallback) costs $8.00 per 1M input tokens and $40.00 per 1M output tokens (based on Anthropic's API). For a blended rate (7:2 cache hit/input/output ratio), this is $5.74 per 1M tokens. Pricing may vary by provider. Compare provider pricing

How verbose is Claude Fable 5.2 (Max, Default Fallback)?

When evaluated on the Intelligence Index, Claude Fable 5.2 (Max, Default Fallback) generated 275M output tokens, which is at the higher end compared to other models in a similar price tier (median: 72.8M).

Is Claude Fable 5.2 (Max, Default Fallback) a reasoning model?

Yes, Claude Fable 5.2 (Max, 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 Fable 5.2 (Max, Default Fallback) support?

Claude Fable 5.2 (Max, Default Fallback) supports text and image input.

What output modalities does Claude Fable 5.2 (Max, Default Fallback) support?

Claude Fable 5.2 (Max, Default Fallback) supports text output.

Can Claude Fable 5.2 (Max, Default Fallback) process images?

Yes, Claude Fable 5.2 (Max, Default Fallback) supports image input and can analyze, describe, and answer questions about images.

Is Claude Fable 5.2 (Max, Default Fallback) multimodal?

Yes, Claude Fable 5.2 (Max, Default Fallback) is multimodal. It can process text and image input and generate text output.

What is the context window of Claude Fable 5.2 (Max, Default Fallback)?

Claude Fable 5.2 (Max, Default Fallback) has a context window of 1M tokens. This determines how much text and conversation history the model can process in a single request.

Is Claude Fable 5.2 (Max, Default Fallback) open source?

No, Claude Fable 5.2 (Max, Default Fallback) is proprietary. The model weights are not publicly available.

How many parameters does Claude Fable 5.2 (Max, Default Fallback) have?

Claude Fable 5.2 (Max, Default Fallback) is a proprietary model and Anthropic has not disclosed the model size or parameter count.

How does Claude Fable 5.2 (Max, Default Fallback) perform on benchmarks?

Claude Fable 5.2 (Max, Default Fallback) achieves a score of 65 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across knowledge work, coding, science, and general knowledge.

Is Claude Fable 5.2 (Max, Default Fallback) available via API?

Yes, Claude Fable 5.2 (Max, Default Fallback) is available via API through 1 provider. Compare API providers

Where can I use Claude Fable 5.2 (Max, Default Fallback)?

Claude Fable 5.2 (Max, Default Fallback) is available through 1 API provider. Compare providers

{"@context":"https://schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","name":"When was Claude Fable 5.2 (Max, Default Fallback) released?","acceptedAnswer":{"@type":"Answer","text":"Claude Fable 5.2 (Max, Default Fallback) was released on November 9, 2026."}},{"@type":"Question","name":"Who created Claude Fable 5.2 (Max, Default Fallback)?","acceptedAnswer":{"@type":"Answer","text":"Claude Fable 5.2 (Max, Default Fallback) was created by Anthropic."}},{"@type":"Question","name":"How intelligent is Claude Fable 5.2 (Max, Default Fallback)?","acceptedAnswer":{"@type":"Answer","text":"Claude Fable 5.2 (Max, Default Fallback) scores 65 on the Artificial Analysis Intelligence Index, placing it well above average among other models in a similar price tier (median: 40)."}},{"@type":"Question","name":"How much does Claude Fable 5.2 (Max, Default Fallback) cost?","acceptedAnswer":{"@type":"Answer","text":"Claude Fable 5.2 (Max, Default Fallback) costs $8.00 per 1M input tokens (at the higher end, median: $2.00) and $40.00 per 1M output tokens (at the higher end, median: $10.00), based on Anthropic's API."}},{"@type":"Question","name":"What is Claude Fable 5.2 (Max, Default Fallback) API pricing?","acceptedAnswer":{"@type":"Answer","text":"Claude Fable 5.2 (Max, Default Fallback) costs $8.00 per 1M input tokens and $40.00 per 1M output tokens (based on Anthropic's API). For a blended rate (7:2 cache hit/input/output ratio), this is $5.74 per 1M tokens. Pricing may vary by provider."}},{"@type":"Question","name":"How verbose is Claude Fable 5.2 (Max, Default Fallback)?","acceptedAnswer":{"@type":"Answer","text":"When evaluated on the Intelligence Index, Claude Fable 5.2 (Max, Default Fallback) generated 275M output tokens, which is at the higher end compared to other models in a similar price tier (median: 72.8M)."}},{"@type":"Question","name":"Is Claude Fable 5.2 (Max, Default Fallback) a reasoning model?","acceptedAnswer":{"@type":"Answer","text":"Yes, Claude Fable 5.2 (Max, Default Fallback) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer."}},{"@type":"Question","name":"What input modalities does Claude Fable 5.2 (Max, Default Fallback) support?","acceptedAnswer":{"@type":"Answer","text":"Claude Fable 5.2 (Max, Default Fallback) supports text and image input."}},{"@type":"Question","name":"What output modalities does Claude Fable 5.2 (Max, Default Fallback) support?","acceptedAnswer":{"@type":"Answer","text":"Claude Fable 5.2 (Max, Default Fallback) supports text output."}},{"@type":"Question","name":"Can Claude Fable 5.2 (Max, Default Fallback) process images?","acceptedAnswer":{"@type":"Answer","text":"Yes, Claude Fable 5.2 (Max, Default Fallback) supports image input and can analyze, describe, and answer questions about images."}},{"@type":"Question","name":"Is Claude Fable 5.2 (Max, Default Fallback) multimodal?","acceptedAnswer":{"@type":"Answer","text":"Yes, Claude Fable 5.2 (Max, Default Fallback) is multimodal. It can process text and image input and generate text output."}},{"@type":"Question","name":"What is the context window of Claude Fable 5.2 (Max, Default Fallback)?","acceptedAnswer":{"@type":"Answer","text":"Claude Fable 5.2 (Max, Default Fallback) has a context window of 1M tokens. This determines how much text and conversation history the model can process in a single request."}},{"@type":"Question","name":"Is Claude Fable 5.2 (Max, Default Fallback) open source?","acceptedAnswer":{"@type":"Answer","text":"No, Claude Fable 5.2 (Max, Default Fallback) is proprietary. The model weights are not publicly available."}},{"@type":"Question","name":"How many parameters does Claude Fable 5.2 (Max, Default Fallback) have?","acceptedAnswer":{"@type":"Answer","text":"Claude Fable 5.2 (Max, Default Fallback) is a proprietary model and Anthropic has not disclosed the model size or parameter count."}},{"@type":"Question","name":"How does Claude Fable 5.2 (Max, Default Fallback) perform on benchmarks?","acceptedAnswer":{"@type":"Answer","text":"Claude Fable 5.2 (Max, Default Fallback) achieves a score of 65 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across knowledge work, coding, science, and general knowledge."}},{"@type":"Question","name":"Is Claude Fable 5.2 (Max, Default Fallback) available via API?","acceptedAnswer":{"@type":"Answer","text":"Yes, Claude Fable 5.2 (Max, Default Fallback) is available via API through 1 provider."}},{"@type":"Question","name":"Where can I use Claude Fable 5.2 (Max, Default Fallback)?","acceptedAnswer":{"@type":"Answer","text":"Claude Fable 5.2 (Max, Default Fallback) is available through 1 API provider."}}]}