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Head-to-head comparison

Claude Fable 5.1 vs. Claude Sonnet 5

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

shared result series
241
distinct benchmarks
33
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 Claude Sonnet 5
AttributeClaude Fable 5.1Claude Sonnet 5
ProviderAnthropicAnthropic
ReleasedSep 1, 2026Jun 30, 2026
AvailabilityActiveActive
Model typeProprietaryProprietary
ParametersNot publishedNot published
ArchitectureNot publishedNot published
Context window1,000,000 tokens1,000,000 tokens
Knowledge cutoffJune 2026January 2026
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 Claude Sonnet 5
Price typeClaude Fable 5.1Claude Sonnet 5
API input$10$2
API output$50$10
Cache read$0.25$0.2
Cache write (5 min.)$12.5$2.5
Cache write (1 hr.)$20$4
Price verified09/22/2026 Source09/22/2026 Source
Claude Fable 5.1Claude Sonnet 5
API inputUSD per 1M tokens, base tier
Claude Fable 5.1$10
Claude Sonnet 5Lower price$2
API outputUSD per 1M tokens, base tier
Claude Fable 5.1$50
Claude Sonnet 5Lower price$10
Cache readUSD per 1M tokens, base tier
Claude Fable 5.1$0.25
Claude Sonnet 5Lower 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.

Provider pricing for Claude Fable 5.1 and Claude Sonnet 5
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: $50Source10/17/2026
AnthropicVia OpenRouteranthropicLowest listed price: $10Lowest listed price: $50Source10/17/2026
AzureVia OpenRouterazureLowest listed price: $10Lowest listed price: $50Source10/17/2026
GoogleVia OpenRoutergoogle-vertex/globalLowest listed price: $10Lowest listed price: $50Source10/17/2026
Claude Sonnet 5AnthropicDirect from developerStandard APILowest listed price: $2Lowest listed price: $10Source09/22/2026
Amazon BedrockVia OpenRouteramazon-bedrock/eu-west-1$2.2$11Source10/17/2026
Amazon BedrockVia OpenRouteramazon-bedrock/globalLowest listed price: $2Lowest listed price: $10Source10/17/2026
Amazon BedrockVia OpenRouteramazon-bedrock/us-east-1$2.2$11Source10/17/2026
AnthropicVia OpenRouteranthropicLowest listed price: $2Lowest listed price: $10Source10/17/2026
AzureVia OpenRouterazure/globalLowest listed price: $2Lowest listed price: $10Source10/17/2026
AzureVia OpenRouterazure/us$2.2$11Source10/17/2026
Claude Platform on AWSVia OpenRouterclaude-on-awsLowest listed price: $2Lowest listed price: $10Source10/17/2026
GoogleVia OpenRoutergoogle-vertex/europe$2.2$11Source10/17/2026
GoogleVia OpenRoutergoogle-vertex/globalLowest listed price: $2Lowest listed price: $10Source10/17/2026
GoogleVia OpenRoutergoogle-vertex/us$2.2$11Source10/17/2026

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.

255075100CodingReasoningMathematicsKnowledgeFinanceLegalAgentic tasksMultimodal
Claude Fable 5.1
Claude Sonnet 5
Coding: 99.3 / 58.7 (7 benchmark families)
Reasoning: 100 / 95.1 (1 benchmark family)
Mathematics: 100 / 77 (1 benchmark family)
Knowledge: 100 / 94.7 (1 benchmark family)
Finance: 99.9 / 89.1 (5 benchmark families)
Legal: 96.7 / 91.9 (3 benchmark families)
Agentic tasks: 100 / 49 (2 benchmark families)
Multimodal: 100 / 91.6 (1 benchmark family)

191 matched rows from 27 benchmark families were considered. The radar shows 8 of 13 comparable categories.

Claude Fable 5.1Claude Sonnet 5
Code MigrationOverall. Higher is better. No documented setup difference
Claude Fable 5.1Winner54.607 %
Claude Sonnet 544.392 %
CyberBench v1.1Overall. Higher is better. No documented setup difference
Claude Fable 5.1Winner70.416 %
Claude Sonnet 561.905 %
EMBOverall. Higher is better. No documented setup difference
Claude Fable 5.1Winner76.67 %
Claude Sonnet 566.316 %
Finance Agent (v2)Overall. Higher is better. No documented setup difference
Claude Fable 5.1Winner58.877 %
Claude Sonnet 553.909 %
GPQA DiamondOverall. Higher is better. No documented setup difference
Claude Fable 5.1Winner93.434 %
Claude Sonnet 588.889 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference
Claude Fable 5.1Winner6.667 %
Claude Sonnet 55 %
IOIOverall. Higher is better. No documented setup difference
Claude Fable 5.1Winner90.778 %
Claude Sonnet 545 %
Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference
Claude Fable 5.1Winner55.288 %
Claude Sonnet 541.827 %
LegalBenchOverall. Higher is better. No documented setup difference
Claude Fable 5.1Winner88.511 %
Claude Sonnet 583.922 %
LiveCodeBench v6Overall. Higher is better. No documented setup difference
Claude Fable 5.1Winner90.515 %
Claude Sonnet 582.429 %
LMArena Code Arena WebDevOverall. Higher is better. Test setup not documented as identical
Claude Fable 5.1Higher measured value1,742.652
Claude Sonnet 51,539.919
LMArena Text, Style ControlOverall. Higher is better. Test setup not documented as identical
Claude Fable 5.1Higher measured value1,500.568
Claude Sonnet 51,461.284

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Claude Fable 5.1 and Claude Sonnet 5
Benchmark and taskClaude Fable 5.1Claude Sonnet 5Source
Code MigrationOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner54.607 %
44.392 %
Vals AI
Source details
Data as of: 10/12/2026
CyberBench v1.1Overall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner70.416 %
61.905 %
Vals AI
Source details
Data as of: 10/12/2026
EMBOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner76.67 %
66.316 %
Vals AI
Source details
Data as of: 10/12/2026
Finance Agent (v2)Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner58.877 %
53.909 %
Vals AI
Source details
Data as of: 10/12/2026
GPQA DiamondOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner93.434 %
88.889 %
Vals AI
Source details
Data as of: 09/01/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved
Test details
No documented difference in the test setupVersion: 1Metric: task resolution rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner6.667 %
5 %
Vals AI
Source details
Data as of: 10/12/2026
IOIOverall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner90.778 %
45 %
Vals AI
Source details
Data as of: 10/14/2026
Legal Research BenchOverall · All-pass
Test details
No documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner55.288 %
41.827 %
Vals AI
Source details
Data as of: 10/12/2026
LegalBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner88.511 %
83.922 %
Vals AI
Source details
Data as of: 10/13/2026
LiveCodeBench v6Overall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner90.515 %
82.429 %
Vals AI
Source details
Data as of: 09/01/2026
LMArena Code Arena WebDevOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 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
Claude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena Code Arena WebDev
Claude Fable 5.1: Arena rating from 7,230 published pairwise votes.Claude Sonnet 5: Arena rating from 15,175 published pairwise votes.
Higher measured value1,742.652
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.
1,539.919
95% confidence interval: ±6.061The 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
Test setup not documented as identicalNo direct winnerVersion: 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
Claude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena Text, style control
Claude Fable 5.1: Arena rating from 14,121 published pairwise votes.Claude Sonnet 5: Arena rating from 48,998 published pairwise votes.
Higher measured value1,500.568
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.
1,461.284
95% confidence interval: ±4.141The 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 Vision, Style ControlOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Fable 5.1: Snapshot: claude-fable-5.1-max, Reasoning: max, Harness: Arena Vision, style control
Claude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena Vision, style control
Claude Fable 5.1: Arena rating from 4,648 published pairwise votes.Claude Sonnet 5: Arena rating from 13,503 published pairwise votes.
Higher measured value1,286.407
95% confidence interval: ±9.66The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
1,263.255
95% confidence interval: ±6.921The 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: 10/09/2026
MedCodeOverall
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
Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens
Higher measured value53.509 %
47.54 %
Vals AI
Source details
Data as of: 10/13/2026
MedScribeOverall
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
Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens
Higher measured value91.294 %
76.054 %
Vals AI
Source details
Data as of: 10/13/2026
MMLU-ProOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner92.375 %
87.545 %
Vals AI
Source details
Data as of: 09/01/2026
MMMU-ProOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner90.636 %
83.006 %
Vals AI
Source details
Data as of: 09/01/2026
MortgageTaxOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner70.786 %
70.032 %
Vals AI
Source details
Data as of: 09/01/2026
ProgramBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: fully resolved rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner7 %
0 %
Vals AI
Source details
Data as of: 10/12/2026
ProofBenchOverall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner100 %
77 %
Vals AI
Source details
Data as of: 10/12/2026
Public Benefits Bench v1.1Overall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner74.899 %
66.035 %
Vals AI
Source details
Data as of: 10/12/2026
SAGEOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 30,000 tokens
48.526 %
Winner48.925 %
Vals AI
Source details
Data as of: 10/08/2026
SkillsBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens
Winner61.552 %
46.476 %
Vals AI
Source details
Data as of: 09/27/2026
SRE BenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: fully solved rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner22.901 %
0.382 %
Vals AI
Source details
Data as of: 10/14/2026
Tax Agent BenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner49.194 %
29.374 %
Vals AI
Source details
Data as of: 10/12/2026
TaxEval v2Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner75.961 %
75.634 %
Vals AI
Source details
Data as of: 09/01/2026
Terminal-Bench 2.1Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: high, Temperature: 1, Output limit: 128,000 tokens
Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Higher measured value85.019 %
74.532 %
Vals AI
Source details
Data as of: 09/28/2026
Terminal-Bench 4.0Overall
Test details
No documented difference in the test setupVersion: 4.0Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner58.081 %
10.606 %
Vals AI
Source details
Data as of: 10/13/2026
Terminal-Bench 4.0Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: trial pass rateScoring: Higher is betterClaude Fable 5.1: Reasoning: high, Agent: Claude Code, Attempts: 330 graded trials
Claude Sonnet 5: Reasoning: max, Agent: Claude Code, Attempts: 330 graded trials
Claude Fable 5.1: 330 graded trials, Claude Code agent, high reasoning. Dataset version 1922072f-a433-429a-8929-350d5e1bcf02.Claude Sonnet 5: 330 graded trials, Claude Code agent, max reasoning. Dataset version 1922072f-a433-429a-8929-350d5e1bcf02.
Higher measured value54.55 %
Selection of exactly identified models from the official 35-row leaderboard. Agents and reasoning efforts differ. These values do not belong to the separate Vals Mini-SWE-agent cohort.
12.42 %
Selection of exactly identified models from the official 35-row leaderboard. Agents and reasoning efforts differ. These values do not belong to the separate Vals Mini-SWE-agent cohort.
Terminal-Bench
Source details
Data as of: 10/06/2026
Terminal-Bench ScienceOverall
Test details
No documented difference in the test setupVersion: 0.1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 128,000 tokens
Winner40 %
5.714 %
Vals AI
Source details
Data as of: 10/14/2026
Vals IndexOverall
Test details
No documented difference in the test setupVersion: 2.1Metric: weighted index scoreScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner65.827 %
51.898 %
Vals AI
Source details
Data as of: 10/13/2026
Vibe Code Bench 1-100Overall
Test details
No documented difference in the test setupVersion: 1.0Metric: accuracyScoring: Higher is betterSettings: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens
Winner28 %
13.822 %
Vals AI
Source details
Data as of: 10/14/2026
Vibe Code Bench v1.1Overall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens
Winner90.263 %
81.325 %
Vals AI
Source details
Data as of: 10/12/2026
Code MigrationCLI
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner52.809 %
36.332 %
Vals AI
Source details
Data as of: 10/12/2026
CyberBench v1.1Patch
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner87.5 %
82.143 %
Vals AI
Source details
Data as of: 10/12/2026
EMBComps
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner82.233 %
69.384 %
Vals AI
Source details
Data as of: 10/12/2026
Finance Agent (v2)Adjustments
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner54.393 %
48.715 %
Vals AI
Source details
Data as of: 10/12/2026
GPQA DiamondFew-Shot CoT
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner92.929 %
87.374 %
Vals AI
Source details
Data as of: 09/01/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed
Test details
No documented difference in the test setupVersion: 1Metric: criteria pass rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner89.855 %
88.768 %
Vals AI
Source details
Data as of: 10/12/2026
IOIIOI 2024
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner100 %
50.5 %
Vals AI
Source details
Data as of: 10/14/2026
Legal Research BenchAdministrative / Regulatory · All-pass
Test details
No documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner68.182 %
54.545 %
Vals AI
Source details
Data as of: 10/12/2026
LegalBenchConclusion Tasks
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner92.511 %
89.555 %
Vals AI
Source details
Data as of: 10/13/2026
LiveCodeBench v6Easy
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner99.068 %
98.447 %
Vals AI
Source details
Data as of: 09/01/2026
LMArena Code Arena WebDevImage to webdev
Test details
Test setup not documented as identicalNo direct winnerVersion: 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
Claude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena Code Arena WebDev
Claude Fable 5.1: Arena rating from 2,470 published pairwise votes.Claude Sonnet 5: Arena rating from 7,633 published pairwise votes.
Higher measured value1,719.751
95% confidence interval: ±13.642The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
1,539.169
95% confidence interval: ±7.844The 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: 10/09/2026
LMArena Text, Style ControlBusiness, management and finance
Test details
Test setup not documented as identicalNo direct winnerVersion: 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
Claude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena Text, style control
Claude Fable 5.1: Arena rating from 2,589 published pairwise votes.Claude Sonnet 5: Arena rating from 9,443 published pairwise votes.
Higher measured value1,485.231
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.
1,464.402
95% confidence interval: ±6.971The 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 Vision, Style ControlChinese
Test details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Fable 5.1: Snapshot: claude-fable-5.1-max, Reasoning: max, Harness: Arena Vision, style control
Claude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena Vision, style control
Claude Fable 5.1: Arena rating from 260 published pairwise votes.Claude Sonnet 5: Arena rating from 822 published pairwise votes.
Higher measured value1,340.8
95% confidence interval: ±36.169The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
1,316.791
95% confidence interval: ±22.41The 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: 10/09/2026
MMLU-ProBiology
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner96.095 %
93.584 %
Vals AI
Source details
Data as of: 09/01/2026
MortgageTaxNumerical Extraction
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
77.583 %
Winner78.696 %
Vals AI
Source details
Data as of: 09/01/2026
ProgramBenchAlmost Resolved
Test details
No documented difference in the test setupVersion: 1Metric: almost-resolved rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner53.5 %
13.5 %
Vals AI
Source details
Data as of: 10/12/2026
SAGEAutomata
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 30,000 tokens
34.524 %
Winner34.92 %
Vals AI
Source details
Data as of: 10/08/2026
SkillsBenchNo Skills
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens
Winner44.828 %
35.123 %
Vals AI
Source details
Data as of: 09/27/2026
SRE BenchCapability Score
Test details
No documented difference in the test setupVersion: 1Metric: capability scoreScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner36.641 %
7.697 %
Vals AI
Source details
Data as of: 10/14/2026
Tax Agent BenchControversy & Precedence Analysis
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner26.667 %
10 %
Vals AI
Source details
Data as of: 10/12/2026
TaxEval v2Correctness
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner64.105 %
64.023 %
Vals AI
Source details
Data as of: 09/01/2026
Terminal-Bench 2.1Easy
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: high, Temperature: 1, Output limit: 128,000 tokens
Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
No direct winner100 %
No direct winner100 %
Vals AI
Source details
Data as of: 09/28/2026
Terminal-Bench 4.0Hardware
Test details
No documented difference in the test setupVersion: 4.0Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner60 %
0 %
Vals AI
Source details
Data as of: 10/13/2026
Terminal-Bench 4.0Overall
Test details
No documented difference in the test setupVersion: 4.0Metric: trial pass rateScoring: Higher is betterSettings: Reasoning: max, Agent: Claude Code, Attempts: 330 graded trials330 graded trials, Claude Code agent, max reasoning. Dataset version 1922072f-a433-429a-8929-350d5e1bcf02.
Winner57.88 %
95% confidence interval: ±3.76Selection of exactly identified models from the official 35-row leaderboard. Agents and reasoning efforts differ. These values do not belong to the separate Vals Mini-SWE-agent cohort.
12.42 %
Selection of exactly identified models from the official 35-row leaderboard. Agents and reasoning efforts differ. These values do not belong to the separate Vals Mini-SWE-agent cohort.
Terminal-Bench
Source details
Data as of: 10/06/2026
Terminal-Bench ScienceEarth Sciences
Test details
No documented difference in the test setupVersion: 0.1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 128,000 tokens
Winner25 %
0 %
Vals AI
Source details
Data as of: 10/14/2026
Vals IndexCode Migration
Test details
No documented difference in the test setupVersion: 2.1Metric: benchmark scoreScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner60.033 %
44.089 %
Vals AI
Source details
Data as of: 10/13/2026
Code MigrationCOBOL
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
60 %
Winner68.571 %
Vals AI
Source details
Data as of: 10/12/2026
CyberBench v1.1PoC
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner53.333 %
41.667 %
Vals AI
Source details
Data as of: 10/12/2026
EMBDataroom
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner86.736 %
84.909 %
Vals AI
Source details
Data as of: 10/12/2026
Finance Agent (v2)All-Pass
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner47.773 %
42.084 %
Vals AI
Source details
Data as of: 10/12/2026
GPQA DiamondZero-Shot CoT
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens
Winner93.939 %
90.404 %
Vals AI
Source details
Data as of: 09/01/2026

Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Our tests

SVG short test

One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.

Shared test round: 4ae5d8eeb9a9

Claude Fable 5.1

Unavailable in this round

Claude Sonnet 5

Unavailable in this round

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.

Claude Sonnet 5

Claude Sonnet 5: 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-sonnet-5
API model reported in response
anthropic/claude-sonnet-5
Reasoning setting
high
Pinned endpoint
Anthropic | anthropic/claude-sonnet-5-20260630
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
47.9 s

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

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 Claude Sonnet 5 with other leading models using the same data and benchmark logic.

View the complete LLM comparison