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Model profile · Anthropic

Claude Fable 5

CurrentReleased Jun 9, 2026ProprietaryReasoning1M context
Claude Fable 5 scores 82.7 out of 100 and ranks #3 of 214. This profile shows 11 source-displayable benchmark rows; its strongest eligible category is Coding at #2. API pricing is $10 input and $50 output per million tokens, with cached input at $1.

Data as of July 31, 2026 · How the score is built

Strongest published evidence

Coding ranks #2. Particularly well-suited for software development and code generation tasks.

Validate before choosing

11 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

82.7/100

field median 57.3

#3 of 214 ranked models

Price

$10input / $50 output

input median $1

cached $1 · batch + cache $0.50 · blended $30

Speed

Not measured

field median 108 tok/s

Time to first token not measured

Context

1Mtokens

field median 256,000

Maximum output length is tracked separately

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

Claude Fable 5 category percentile values

  • Agentic95th percentile
  • Coding99th percentile
  • ReasoningNot eligible
  • KnowledgeNot eligible
  • MathNot eligible
  • MultilingualNot eligible
  • MultimodalNot eligible
  • Instruction followingNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#7/128
  2. Coding#2/129
  3. ReasoningNot ranked
  4. KnowledgeNot ranked
  5. MathNot ranked
  6. MultilingualNot ranked
  7. MultimodalNot ranked
  8. Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible

What it costs to get this score

Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.

Explore all models

The chart opens on the current model. Scroll horizontally to inspect the full price axis.

Current modelClaude Fable 5 · 82.7 score · $30 blended per million tokens
405060708090$0.50$1$5$10$25↘ frontierClaude Fable 5

Horizontal: blended price per million tokens, log scale · Vertical: public score

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic2/2 verified
  2. Coding7/7 verified
  3. ReasoningNot measured
  4. KnowledgeNot measured
  5. MathNot measured
  6. MultilingualNot measured
  7. Multimodal2/2 verified
  8. Inst. FollowingNot measured
Verified sourceProvisionalNot measured

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
claude-fable-5Anthropic model overview
Context window
1MAnthropic model overview
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
text, imageAnthropic model overview
Output modalities
textAnthropic model overview
Parameters
Not disclosed by the provider
Availability
Claude APIAnthropic model overview
Cloud regions
Not tracked yet
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Published at $1 per million cached input tokensClaude API pricing
Self-host
Weights are not published
Rate limits
Not tracked yet

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #7 of 128Percentile 95thWeight 22%2 benchmarksVerified65.4
CodingRank #2 of 129Percentile 99thWeight 20%7 benchmarksVerified79.8
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalRank Not rankedWeight 12%2 benchmarksVerified63.9
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding7 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore95%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap1 behindWeightWeighted 16%
SWE-bench ProScore80%Versus best verified row

Best verified: Claude Mythos 5 · 80.3%

Gap0.3 behindWeightWeighted 10%
FrontierCode 1.1 MainScore53.5%Versus best verified row

Best verified: Claude Fable 5 · 53.5%

GapBest verifiedWeightDisplay only
Terminal-Bench 2.0Score84.3%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap7.6 behindWeightDisplay only
cursorBench31Score70.6%Versus best verified row

Best verified: Claude Fable 5 · 70.6%

GapBest verifiedWeightDisplay only
cursorBench32Score70.5%Versus best verified row

Best verified: Claude Fable 5 · 70.5%

GapBest verifiedWeightDisplay only
VulcanBench v3Score87.0%Versus best verified row

Best verified: Grok 4.5 · 91.3%

Gap4.3 behindWeightDisplay only
Agentic2 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.0Score84.3%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap7.6 behindWeightWeighted 38%
OSWorld-VerifiedScore85%Versus best verified row

Best verified: Claude Mythos 5 · 85%

GapBest verifiedWeightWeighted 34%
Multimodal2 rows
Multimodal benchmark values, best verified comparison, weight, and source status
OfficeQA ProScore57.9%Versus best verified row

Best verified: Claude Opus 5 · 66.9%

Gap9 behindWeightWeighted 30%
Blueprint-Bench 2Score38.6%Versus best verified row

Best verified: Claude Fable 5 · 38.6%

GapBest verifiedWeightDisplay only

Lineage

The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

Base entry

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

Claude Fable 5 ranks #3 of 214 on the public leaderboard with a score of 82.73/100. Its source-verified position is #3 of 103.

Claude Fable 5 is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Claude Fable 5 is Anthropic's generally available Mythos-class model. It uses the same underlying model as Claude Mythos 5, with production safeguards for cybersecurity, biology, chemistry, distillation, and frontier-AI-development requests. Some Claude clients route flagged requests to Claude Opus 4.8; the Messages API blocks by default unless fallback is configured.

Updated from Anthropic's June 9, 2026 Claude Fable 5 and Claude Mythos 5 launch pages and system card, supplemented by CursorBench v3.1 and CursorBench v3.2's Fable 5 Max setting. Anthropic says Fable 5 and Mythos 5 use the same underlying model, with Fable adding production safeguards and fallback/block behavior. BenchLM maps the launch and model-card rows that already fit the public schema.

11 of 376 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Coding at #2, while its lowest eligible position is Agentic at #7. particularly well-suited for software development and code generation tasks.

Radar

Claude Fable 5 release history

Full release history

Frequently asked questions

How does Claude Fable 5 perform overall in AI benchmarks?

Claude Fable 5 ranks #3 out of 214 models on the public BenchAlign leaderboard, with a score of 82.73/100. Its evidence status is Supported, and this profile shows 11 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Claude Fable 5 good for coding and programming?

Claude Fable 5 ranks #2 out of 129 eligible models for coding and programming, with a public category score of 79.8/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Claude Fable 5 good for agentic tool use and computer tasks?

Claude Fable 5 ranks #7 out of 128 eligible models for agentic tool use and computer tasks, with a public category score of 65.4/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Claude Fable 5 good for multimodal and grounded tasks?

Claude Fable 5 has source-displayable benchmark coverage for multimodal and grounded tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Does Claude Fable 5 have full benchmark coverage on BenchLM?

No. Claude Fable 5 currently has 34 source-displayable rows across 376 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Claude Fable 5?

Claude Fable 5 has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

Last updated July 31, 2026. Runtime fields remain blank until a sourced snapshot exists.

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