Claude Fable 5.
A model-level benchmark profile for Claude Fable 5, combining Arena category ranks, suite indexes, commercial price and speed data, SWE-bench status, and lab context.
Lab
Anthropic
Proprietary
Coverage
89%
8 of 9 tracked signals
Best Arena rank
#1
Text Arena
Best suite
#1
Reasoning / 100
Model profile
Benchmark signal map.
This view treats missing values as coverage gaps, then puts every available score, rank, cost, and speed signal into the same visual hierarchy.
Analyst view
Claude Fable 5 is strongest on reasoning.
Its best composite result is rank #1 in the reasoning view, with a 100 reasoning proxy. The strongest raw Arena signal is Text Arena at rank #1 with 27,189 public votes.
Best current lane
Reasoning
#1 / 100 reasoning proxy
Strongest raw signal
Text
#1, 1507 score
Commercial posture
$20.00
53.7s first token / 68 tok/s
Coverage gaps
Profile completeness
8 of 9 signals matched
Arena categories
5/5
Text, Vision, Docs, Search, Code
Commercial match
Live
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
SWE-bench
Not listed
No confident software benchmark row
Raw identifier
claude-fable-5
Performance cockpit
Public benchmark scores
Arena rows show score, public rank, confidence interval, vote count, and publish date. Missing rows stay visible as coverage gaps.
Vision Arena
Arena category
1305-1322 CI
Search Arena
Arena category
1221-1237 CI
Document Arena
Arena category
1497-1516 CI
SWE-bench Verified
Software issue resolution
Not listed
No confident SWE-bench row matched to this model.
Coverage gap
Cost and speed
Commercial profile
Price, latency, and throughput are only shown when a confident commercial source row is matched.
Blended price
$20.00
USD / 1M tokens
Input price
$10.00
USD / 1M input tokens
Output price
$50.00
USD / 1M output tokens
Latency
53.7s
Median time to first token
Output speed
68 tok/s
Median generation speed
Matched source row
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)Suite position
Composite ranks by benchmark lens.
These views combine available public signals into purpose-specific indexes. A missing card means the model lacks enough source coverage for that lens.
Value
Quality, price, latency, and output speed
value index
Coding
Code Arena, SWE-bench, and output speed
coding index
Agents
Search, documents, code, and latency
agent proxy
Reasoning
Text, documents, vision, and mode signal
reasoning proxy
Long context
Document, search, and text benchmark proxy
context proxy
Lab context
Nearby Anthropic profiles.
Same-lab models make it easier to see whether this profile is a flagship, value play, specialist, or lower-coverage row.
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Coverage
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Best rank
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Coverage
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