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Head-to-head comparison

Claude Fable 5.1 vs. Muse Wonder

Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.

shared result series
189
distinct benchmarks
32
latest retrieval
2026-10-15

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Specifications

General specifications

Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.

Specifications for Claude Fable 5.1 and Muse Wonder
AttributeClaude Fable 5.1Muse Wonder
ProviderAnthropicMeta
ReleasedSep 1, 2026Oct 12, 2026
AvailabilityActivePreview
Model typeProprietaryProprietary
ParametersNot publishedNot published
ArchitectureNot publishedNot published
Context window1,000,000 tokens1,048,576 tokens
Knowledge cutoffJune 2026Not published
Technical sourcesModelModel, Context

Pricing

API pricing compared

The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.

API pricing for Claude Fable 5.1 and Muse Wonder
Price typeClaude Fable 5.1Muse Wonder
API input$10$4
API output$50$20
Cache read$0.25$0.2
Cache write (5 min.)$12.5Not listed
Cache write (1 hr.)$20Not listed
Price verified09/22/2026 Source10/15/2026 Source
Claude Fable 5.1Muse Wonder
API inputUSD per 1M tokens, base tier
Claude Fable 5.1$10
Muse WonderLower price$4
API outputUSD per 1M tokens, base tier
Claude Fable 5.1$50
Muse WonderLower price$20
Cache readUSD per 1M tokens, base tier
Claude Fable 5.1$0.25
Muse WonderLower price$0.2

Key to the marks:better valuebetter, but not conclusivetie

Pricing by provider

Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.

No provider tariff for Muse Wonder is available in the stored OpenRouter snapshot. The official direct price is still shown.

Provider pricing for Claude Fable 5.1 and Muse Wonder
ModelProviderPurchase route and tariffInput per 1M tokensOutput per 1M tokensSource
Claude Fable 5.1AnthropicDirect from developerStandard APILowest listed price: $10Lowest listed price: $50Source09/22/2026
Amazon BedrockVia OpenRouteramazon-bedrockLowest listed price: $10Lowest listed price: $50Source10/16/2026
AnthropicVia OpenRouteranthropicLowest listed price: $10Lowest listed price: $50Source10/16/2026
AzureVia OpenRouterazureLowest listed price: $10Lowest listed price: $50Source10/16/2026
Muse WonderMetaDirect from developerStandard APILowest listed price: $4Lowest listed price: $20Source10/15/2026

Performance

Shared benchmarks

Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.

Capability profile from matched benchmarks

Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.

255075100CodingReasoningKnowledgeFinanceLegalAgentic tasksProductivityHealth
Claude Fable 5.1
Muse Wonder
Coding: 96.7 / 97.1 (5 benchmark families)
Reasoning: 99.5 / 99.8 (1 benchmark family)
Knowledge: 96.1 / 99.9 (2 benchmark families)
Finance: 99.5 / 98 (2 benchmark families)
Legal: 64 / 100 (1 benchmark family)
Agentic tasks: 94 / 89.8 (3 benchmark families)
Productivity: 94.8 / 98.2 (2 benchmark families)
Health: 100 / 97.4 (1 benchmark family)

35 matched rows from 15 benchmark families were considered. The radar shows 8 of 10 comparable categories.

Claude Fable 5.1Muse Wonder
AutomationBench-AA (strict pass@1)Overall. Higher is better. No documented setup difference
Claude Fable 5.132.1 %
Muse WonderWinner39.1 %
Code MigrationOverall. Higher is better. Test setup not documented as identical
Claude Fable 5.154.607 %
Muse WonderHigher measured value62.552 %
CyberBench v1.1Overall. Higher is better. Test setup not documented as identical
Claude Fable 5.170.416 %
Muse WonderHigher measured value80.357 %
DeepSWEOverall. Higher is better. No documented setup difference
Claude Fable 5.167.4 %
Muse WonderWinner78.8 %
EMBOverall. Higher is better. Test setup not documented as identical
Claude Fable 5.1Higher measured value76.67 %
Muse Wonder67.084 %
Finance Agent (v2)Overall. Higher is better. Test setup not documented as identical
Claude Fable 5.1Higher measured value58.877 %
Muse Wonder56.637 %
GDP.pdfOverall. Higher is better. No documented setup difference
Claude Fable 5.127.6 points
Muse WonderWinner30.8 points
Harvey LAB-AAOverall. Higher is better. No documented setup difference
Claude Fable 5.16.4 %
Muse WonderWinner10 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. Test setup not documented as identical
Claude Fable 5.16.667 %
Muse WonderHigher measured value17.083 %
HealthBench ProOverall. Higher is better. No documented setup difference
Claude Fable 5.1Winner62.1 points
Muse Wonder60.5 points
IOIOverall. Higher is better. Test setup not documented as identical
Claude Fable 5.1Higher measured value90.778 %
Muse Wonder66.944 %
JobBenchOverall. Higher is better. No documented setup difference
Claude Fable 5.1Winner73.1 points
Muse Wonder70.5 points

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Claude Fable 5.1 and Muse Wonder
Benchmark and taskClaude Fable 5.1Muse WonderSource
AutomationBench-AA (strict pass@1)Overall
Test details
No documented difference in the test setupVersion: Meta Wonder scorecard; version unspecifiedMetric: strict pass@1; every end-state assertion passedScoring: Higher is betterSettings: Reasoning: maxBusiness workflows in a simulated application environment. Every end-state assertion must pass; max reasoning. Do not merge with other AutomationBench-AA metrics.
32.1 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
Winner39.1 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
Meta
Source details
Data as of: 10/15/2026
Code MigrationOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
54.607 %
Higher measured value62.552 %
Vals AI
Source details
Data as of: 10/12/2026
CyberBench v1.1Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
70.416 %
Higher measured value80.357 %
Vals AI
Source details
Data as of: 10/12/2026
DeepSWEOverall
Test details
No documented difference in the test setupVersion: v1.1Metric: pass@1Scoring: Higher is betterSettings: Reasoning: max113 tasks across 91 repositories and five languages. Max reasoning. Meta attributes these results to Datacurve; the Muse scores could not be found on its public leaderboard at retrieval.
67.4 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
Winner78.8 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
Meta
Source details
Data as of: 10/15/2026
EMBOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value76.67 %
67.084 %
Vals AI
Source details
Data as of: 10/12/2026
Finance Agent (v2)Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value58.877 %
56.637 %
Vals AI
Source details
Data as of: 10/12/2026
GDP.pdfOverall
Test details
No documented difference in the test setupVersion: Meta Wonder scorecard; version unspecifiedMetric: published GDP.pdf scoreScoring: Higher is betterSettings: Reasoning: maxProfessional work grounded in supplied PDFs. Max reasoning. Meta names Surge as the original source.
27.6 points
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort. The source specifies neither a denominator nor a normalized scale. This is the published raw score, not a percentage.
Winner30.8 points
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort. The source specifies neither a denominator nor a normalized scale. This is the published raw score, not a percentage.
Meta
Source details
Data as of: 10/15/2026
Harvey LAB-AAOverall
Test details
No documented difference in the test setupVersion: 1.1Metric: all criteria passed with hallucination checksScoring: Higher is betterSettings: Reasoning: maxLegal deliverables must pass every criterion including hallucination checks. Max reasoning. Meta attributes the original evaluation to Artificial Analysis.
6.4 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
Winner10 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
Meta
Source details
Data as of: 10/15/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
6.667 %
Higher measured value17.083 %
Vals AI
Source details
Data as of: 10/12/2026
HealthBench ProOverall
Test details
No documented difference in the test setupVersion: Meta Wonder scorecard; version unspecifiedMetric: length-normalized weighted rubric scoreScoring: Higher is betterSettings: Reasoning: max525 health questions without tools; physician rubrics graded by GPT-5.4. Max reasoning. Meta attributes the Claude scores to Anthropic system cards.
Winner62.1 points
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort. The source specifies neither a denominator nor a normalized scale. This is the published raw score, not a percentage.
60.5 points
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort. The source specifies neither a denominator nor a normalized scale. This is the published raw score, not a percentage.
Meta
Source details
Data as of: 10/15/2026
IOIOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value90.778 %
66.944 %
Vals AI
Source details
Data as of: 10/14/2026
JobBenchOverall
Test details
No documented difference in the test setupVersion: Meta Wonder scorecard; version unspecifiedMetric: mean task rewardScoring: Higher is betterSettings: Reasoning: max65 professional tasks across 35 occupations. Mean task-specific reward, max reasoning.
Winner73.1 points
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort. The source specifies neither a denominator nor a normalized scale. This is the published raw score, not a percentage.
70.5 points
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort. The source specifies neither a denominator nor a normalized scale. This is the published raw score, not a percentage.
Meta
Source details
Data as of: 10/15/2026
Legal Research BenchOverall · All-pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value55.288 %
50.481 %
Vals AI
Source details
Data as of: 10/12/2026
LMArena Code Arena WebDevOverall
Test details
No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterClaude Fable 5.1: Snapshot: claude-fable-5.1-max, Reasoning: max, Harness: Arena Code Arena WebDev
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev
Claude Fable 5.1: Arena rating from 7,230 published pairwise votes.Muse Wonder: Arena rating from 1,228 published pairwise votes.
Winner1,742.652
95% confidence interval: ±9.147The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
1,650.947
95% confidence interval: ±18.263The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
LMArena
Source details
Data as of: 10/13/2026
LMArena Text, Style ControlOverall
Test details
No documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Fable 5.1: Snapshot: claude-fable-5.1-max, Reasoning: max, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
Claude Fable 5.1: Arena rating from 14,121 published pairwise votes.Muse Wonder: Arena rating from 1,944 published pairwise votes.
1,500.568
95% confidence interval: ±6.106The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
No clear lead1,512.671
95% confidence interval: ±13.236The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
LMArena
Source details
Data as of: 10/13/2026
MemoryBenchOverall
Test details
No documented difference in the test setupVersion: Meta internal Wonder evaluationMetric: LLM-judge weighted rubric scoreScoring: Higher is betterSettings: Reasoning: maxInternal Meta evaluation with 64K-100K-token conversations, distractors and conflicting or updated turns. Max reasoning.
79 points
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort. The source specifies neither a denominator nor a normalized scale. This is the published raw score, not a percentage.
Winner85.6 points
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort. The source specifies neither a denominator nor a normalized scale. This is the published raw score, not a percentage.
Meta
Source details
Data as of: 10/15/2026
MysteryMechanismOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value47.748 %
27.477 %
Vals AI
Source details
Data as of: 10/12/2026
OSWorld V2.1 (binary completion)Overall
Test details
No documented difference in the test setupVersion: V2.1Metric: strict binary task completionScoring: Higher is betterSettings: Reasoning: max108 Ubuntu desktop workflows. Full task completion without partial credit, max reasoning. No binary Opus 5.5 score is published.
Winner43.1 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
34.3 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
Meta
Source details
Data as of: 10/15/2026
OSWorld V2.1 (partial reward)Overall
Test details
No documented difference in the test setupVersion: V2.1Metric: mean per-task partial rewardScoring: Higher is betterSettings: Reasoning: max108 Ubuntu desktop workflows. Partial reward, max reasoning. Meta attributes the Opus 5.5 score to Anthropic.
Winner80.7 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
72.6 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
Meta
Source details
Data as of: 10/15/2026
Personal Superintelligence IndexOverall
Test details
No documented difference in the test setupVersion: Meta Wonder launch scorecardMetric: Meta internal composite scoreScoring: Higher is betterSettings: Reasoning: maxMeta internal composite of seven personal and professional work evaluations. Max reasoning.
49.9 points
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort. The source specifies neither a denominator nor a normalized scale. This is the published raw score, not a percentage.
Winner54.3 points
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort. The source specifies neither a denominator nor a normalized scale. This is the published raw score, not a percentage.
Meta
Source details
Data as of: 10/15/2026
ProgramBenchOverall
Test details
No documented difference in the test setupVersion: Meta Wonder scorecard; version unspecifiedMetric: rollouts passing at least 95% of testsScoring: Higher is betterSettings: Reasoning: max, Harness: mini-swe-agentReconstruct programs from a specification. Common mini-swe-agent, clean environment without internet after setup. Share of rollouts passing at least 95% of tests, max reasoning.
Winner55.5 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
50 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
Meta
Source details
Data as of: 10/15/2026
ProofBenchOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value100 %
84 %
Vals AI
Source details
Data as of: 10/12/2026
Public Benefits Bench v1.1Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value74.899 %
70.23 %
Vals AI
Source details
Data as of: 10/12/2026
SWE-bench MultimodalOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value61.25 %
45.417 %
Vals AI
Source details
Data as of: 10/13/2026
Tax Agent BenchOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value49.194 %
36.269 %
Vals AI
Source details
Data as of: 10/12/2026
Terminal-Bench 4.0Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value58.081 %
49.495 %
Vals AI
Source details
Data as of: 10/13/2026
Terminal-Bench 4.0-AAOverall
Test details
No documented difference in the test setupVersion: 4.0-AAMetric: task accuracyScoring: Higher is betterSettings: Reasoning: maxTerminal tasks in isolated environments with executable verifiers. Max reasoning. Meta names Artificial Analysis as the source; each agent remains part of the result.
Tie52 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
Tie52 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
Meta
Source details
Data as of: 10/15/2026
Terminal-Bench ScienceOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens
Higher measured value40 %
22.857 %
Vals AI
Source details
Data as of: 10/14/2026
Vals Finance Agent V2Overall
Test details
No documented difference in the test setupVersion: V2Metric: private test accuracyScoring: Higher is betterSettings: Reasoning: maxFinancial research using filings and market data. Private test set, max reasoning. Vals results republished by Meta.
Winner58.9 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
56.6 %
Comparison table published by Meta. Depending on the benchmark, Meta uses internal runs, provider reports or third-party results and selects the highest available validated score. This is not a uniformly independently measured cohort.
Meta
Source details
Data as of: 10/15/2026
Vals IndexOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: weighted index scoreScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value65.827 %
61.062 %
Vals AI
Source details
Data as of: 10/13/2026
Vibe Code Bench 1-100Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.0Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Harness: OpenHands, Temperature: 1, Output limit: 131,072 tokens
Higher measured value28 %
26.55 %
Vals AI
Source details
Data as of: 10/14/2026
Vibe Code Bench v1.1Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Harness: OpenHands, Temperature: 1, Output limit: 131,072 tokens
Higher measured value90.263 %
83.089 %
Vals AI
Source details
Data as of: 10/12/2026
Code MigrationCLI
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
52.809 %
Higher measured value60.07 %
Vals AI
Source details
Data as of: 10/12/2026
CyberBench v1.1Patch
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value87.5 %
85.714 %
Vals AI
Source details
Data as of: 10/12/2026
EMBComps
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value82.233 %
79.488 %
Vals AI
Source details
Data as of: 10/12/2026
Finance Agent (v2)Adjustments
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value54.393 %
52.67 %
Vals AI
Source details
Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
89.855 %
Higher measured value93.841 %
Vals AI
Source details
Data as of: 10/12/2026
IOIIOI 2024
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value100 %
66.833 %
Vals AI
Source details
Data as of: 10/14/2026
Legal Research BenchAdministrative / Regulatory · All-pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value68.182 %
63.636 %
Vals AI
Source details
Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev
Test details
No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterClaude Fable 5.1: Snapshot: claude-fable-5.1-max, Reasoning: max, Harness: Arena Code Arena WebDev
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev
Claude Fable 5.1: Arena rating from 7,230 published pairwise votes.Muse Wonder: Arena rating from 1,228 published pairwise votes.
Winner1,742.652
95% confidence interval: ±9.147The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
1,650.947
95% confidence interval: ±18.263The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
LMArena
Source details
Data as of: 10/13/2026
LMArena Text, Style ControlBusiness, management and finance
Test details
No documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Fable 5.1: Snapshot: claude-fable-5.1-max, Reasoning: max, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
Claude Fable 5.1: Arena rating from 2,589 published pairwise votes.Muse Wonder: Arena rating from 338 published pairwise votes.
1,485.231
95% confidence interval: ±11.847The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
No clear lead1,500.247
95% confidence interval: ±30.856The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
LMArena
Source details
Data as of: 10/13/2026
SWE-bench Multimodalbpmn-js
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value79.245 %
67.925 %
Vals AI
Source details
Data as of: 10/13/2026
Tax Agent BenchControversy & Precedence Analysis
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value26.667 %
20 %
Vals AI
Source details
Data as of: 10/12/2026
Terminal-Bench 4.0Hardware
Test details
Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value60 %
46.667 %
Vals AI
Source details
Data as of: 10/13/2026
Terminal-Bench ScienceEarth Sciences
Test details
Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens
25 %
Higher measured value50 %
Vals AI
Source details
Data as of: 10/14/2026
Vals IndexCode Migration
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
60.033 %
Higher measured value62.009 %
Vals AI
Source details
Data as of: 10/13/2026
Code MigrationCOBOL
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
60 %
Higher measured value70 %
Vals AI
Source details
Data as of: 10/12/2026
CyberBench v1.1PoC
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
53.333 %
Higher measured value75 %
Vals AI
Source details
Data as of: 10/12/2026
EMBDataroom
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value86.736 %
79.232 %
Vals AI
Source details
Data as of: 10/12/2026
Finance Agent (v2)All-Pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value47.773 %
45.936 %
Vals AI
Source details
Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
0 %
Higher measured value20 %
Vals AI
Source details
Data as of: 10/12/2026
IOIIOI 2025
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value87.167 %
75.5 %
Vals AI
Source details
Data as of: 10/14/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value92.519 %
90.571 %
Vals AI
Source details
Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev-html
Test details
No documented difference in the test setupNo clear leadVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterClaude Fable 5.1: Snapshot: claude-fable-5.1-max, Reasoning: max, Harness: Arena Code Arena WebDev
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev
Claude Fable 5.1: Arena rating from 855 published pairwise votes.Muse Wonder: Arena rating from 158 published pairwise votes.
1,690.402
95% confidence interval: ±23.795The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
No clear lead1,721.908
95% confidence interval: ±51.47The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
LMArena
Source details
Data as of: 10/13/2026
LMArena Text, Style ControlCoding
Test details
No documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Fable 5.1: Snapshot: claude-fable-5.1-max, Reasoning: max, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
Claude Fable 5.1: Arena rating from 2,816 published pairwise votes.Muse Wonder: Arena rating from 487 published pairwise votes.
1,535.255
95% confidence interval: ±11.537The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
No clear lead1,557.956
95% confidence interval: ±26.189The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
LMArena
Source details
Data as of: 10/13/2026
SWE-bench MultimodalCarbon
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value44.361 %
27.068 %
Vals AI
Source details
Data as of: 10/13/2026
Tax Agent BenchControversy & Precedence Analysis
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
70.553 %
Higher measured value71.362 %
Vals AI
Source details
Data as of: 10/12/2026
Terminal-Bench 4.0Media
Test details
Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value66.667 %
33.333 %
Vals AI
Source details
Data as of: 10/13/2026
Terminal-Bench ScienceEngineering Sciences
Test details
Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens
Higher measured value44.444 %
0 %
Vals AI
Source details
Data as of: 10/14/2026
Vals IndexEMB
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value76.67 %
67.084 %
Vals AI
Source details
Data as of: 10/13/2026
Code MigrationCode Quality
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value4.513 / 5
4.061 / 5
Vals AI
Source details
Data as of: 10/12/2026
EMBDCF
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value69.88 %
51.035 %
Vals AI
Source details
Data as of: 10/12/2026
Finance Agent (v2)Comparables
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
45.982 %
Higher measured value47.933 %
Vals AI
Source details
Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Criteria passed
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
89.606 %
Higher measured value92.473 %
Vals AI
Source details
Data as of: 10/12/2026

Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Our tests

There is no shared test round for this selection. Results from different rounds are not mixed.

Earlier tests

Pelican on a bicycle

A community classic for free-form SVG drawing.

Claude Fable 5.1

Claude Fable 5.1: Pelican on a bicycle
A community classic for free-form SVG drawing.

Reasoning (requested): high

Current attempt
Run date
Sep 7, 2026
API provider
openrouter
Requested API model
anthropic/claude-fable-5.1
API model reported in response
anthropic/claude-fable-5.1
Reasoning setting
high
Pinned endpoint
Anthropic | anthropic/claude-fable-5.1-20260831
Temperature
Provider default
Token limit including reasoning
8,192 tokens
Test protocol
community-visual-tests-v1
Technical checks
Passed, not a quality rating
Response time
27 s

Visually reviewed. This individual test does not establish overall model quality.

Muse Wonder

Not tested yet

Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)

How to read this comparison

Winning one benchmark is not an overall verdict

Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.

The standard price table uses direct developer rates. The provider comparison labels OpenRouter endpoints, regions, and special tariffs separately.

Every result links to its measurement source and retrieval date. Labels distinguish vendor reports, official benchmark leaderboards, and independent evaluations. Disputed or archived results are excluded.

More matchups

Compare Claude Fable 5.1 and Muse Wonder with other leading models using the same data and benchmark logic.

View the complete LLM comparison