单一来源
当前只有一个可用来源,尚未完成多源交叉核验Claude Fable 5.2在Artificial Analysis获65分创最高
Artificial Analysis
Anthropic
Claude Fable 5.2
Proprietary model
Released November 2026
Claude Fable 5.2 (Max, Default Fallback) Intelligence, Performance & Price Analysis
Try it out API Provider Benchmarks
Model summary
IntelligenceUpdated
Artificial Analysis Intelligence Index
4 out of 4 units for Intelligence.
Performance
Time to first answer token 219.85sOutput speed 98 tok/s
Time per Intelligence Index task (minutes)
4 out of 4 units for Performance.
In $8.00Out $40.00Cache discount 98%
$26.54
Cost per Intelligence Index task
4 out of 4 units for Cost.
Verbosity
Input tokens 28.3BOutput/input 0.97%
Output tokens from Intelligence Index
4 out of 4 units for Verbosity.
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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 12.6 minutes for comparable models (lower is better).
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ReasoningYes
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 window1M
~1500 A4 pages of size 12 Arial font
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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
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 0.1
No publicly available API
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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.
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
No publicly available API
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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.
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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
Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task
Evidence
来源与证据
当前仅有一个可用来源,尚未完成多源交叉核验。
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