Claude Fable 5.1
Unavailable in this round
Head-to-head comparison
Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
Specifications
Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.
| Attribute | Claude Fable 5.1 | Claude Fable 5 |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Released | Sep 1, 2026 | Jun 9, 2026 |
| Availability | Active | Active |
| Model type | Proprietary | Proprietary |
| Parameters | Not published | Not published |
| Architecture | Not published | Not published |
| Context window | 1,000,000 tokens | 1,000,000 tokens |
| Knowledge cutoff | June 2026 | January 2026 |
| Technical sources | Model | Model, Context, Knowledge cutoff |
Pricing
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.
| Price type | Claude Fable 5.1 | Claude Fable 5 |
|---|---|---|
| API input | $10 | $10 |
| API output | $50 | $50 |
| Cache read | $0.25 | $1 |
| Cache write (5 min.) | $12.5 | $12.5 |
| Cache write (1 hr.) | $20 | $20 |
| Price verified | 09/22/2026 Source | 09/22/2026 Source |
Key to the marks:better valuebetter, but not conclusivetie
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.
| Model | Provider | Purchase route and tariff | Input per 1M tokens | Output per 1M tokens | Source |
|---|---|---|---|---|---|
| Claude Fable 5.1 | Anthropic | Direct from developerStandard API | Lowest listed price: $10 | Lowest listed price: $50 | Source09/22/2026 |
| Amazon Bedrock | Via OpenRouteramazon-bedrock | Lowest listed price: $10 | Lowest listed price: $50 | Source10/17/2026 | |
| Anthropic | Via OpenRouteranthropic | Lowest listed price: $10 | Lowest listed price: $50 | Source10/17/2026 | |
| Azure | Via OpenRouterazure | Lowest listed price: $10 | Lowest listed price: $50 | Source10/17/2026 | |
| Via OpenRoutergoogle-vertex/global | Lowest listed price: $10 | Lowest listed price: $50 | Source10/17/2026 | ||
| Claude Fable 5 | Anthropic | Direct from developerStandard API | Lowest listed price: $10 | Lowest listed price: $50 | Source09/22/2026 |
| Amazon Bedrock | Via OpenRouteramazon-bedrock | Lowest listed price: $10 | Lowest listed price: $50 | Source10/17/2026 | |
| Anthropic | Via OpenRouteranthropic | Lowest listed price: $10 | Lowest listed price: $50 | Source10/17/2026 | |
| Azure | Via OpenRouterazure | Lowest listed price: $10 | Lowest listed price: $50 | Source10/17/2026 | |
| Claude Platform on AWS | Via OpenRouterclaude-on-aws | Lowest listed price: $10 | Lowest listed price: $50 | Source10/17/2026 | |
| Via OpenRoutergoogle-vertex/europe | $11 | $55 | Source10/17/2026 | ||
| Via OpenRoutergoogle-vertex/global | Lowest listed price: $10 | Lowest listed price: $50 | Source10/17/2026 |
Performance
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.
Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.
178 matched rows from 22 benchmark families were considered. The radar shows 8 of 12 comparable categories.
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | Claude Fable 5.1 | Claude Fable 5 | Source |
|---|---|---|---|
Code MigrationOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 54.607 % | Winner55.065 % | Vals AISource detailsData as of: 10/12/2026 |
EMBOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner76.67 % | 73.666 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner58.877 % | 56.314 % | Vals AISource detailsData as of: 10/12/2026 |
GPQA DiamondOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner93.434 % | 93.182 % | Vals AISource detailsData as of: 09/01/2026 |
Harvey's Legal Agent BenchmarkOverall · Task fully resolvedTest detailsNo documented difference in the test setupVersion: 1Metric: task resolution rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 6.667 % | Winner11.25 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchOverall · All-passTest detailsNo documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner55.288 % | 49.519 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 88.511 % | Winner88.561 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6OverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner90.515 % | 89.778 % | Vals AISource detailsData as of: 09/01/2026 |
LMArena Code Arena WebDevOverallTest detailsTest 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 Fable 5: Snapshot: claude-fable-5-high, Reasoning: high, Harness: Arena Code Arena WebDevClaude Fable 5.1: Arena rating from 7,230 published pairwise votes.Claude Fable 5: Arena rating from 15,295 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. | 1,623.828 95% confidence interval: ±6.238The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
LMArena Text, Style ControlOverallTest detailsTest 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 Fable 5: Snapshot: claude-fable-5-high, Reasoning: high, Harness: Arena Text, style controlClaude Fable 5.1: Arena rating from 14,121 published pairwise votes.Claude Fable 5: Arena rating from 41,439 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. | Higher measured value1,503.377 95% confidence interval: ±4.304The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
LMArena Vision, Style ControlOverallTest detailsTest 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 Fable 5: Snapshot: claude-fable-5-high, Reasoning: high, Harness: Arena Vision, style controlClaude Fable 5.1: Arena rating from 4,648 published pairwise votes.Claude Fable 5: Arena rating from 14,175 published pairwise votes. | 1,286.407 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. | Higher measured value1,307.966 95% confidence interval: ±7.156The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/09/2026 |
MedCodeOverallTest detailsTest 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 Fable 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens | 53.509 % | Higher measured value56.07 % | Vals AISource detailsData as of: 10/13/2026 |
MedScribeOverallTest detailsTest 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 Fable 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens | Higher measured value91.294 % | 88.522 % | Vals AISource detailsData as of: 10/13/2026 |
MMLU-ProOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner92.375 % | 91.502 % | Vals AISource detailsData as of: 09/01/2026 |
MMMU-ProOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner90.636 % | 89.306 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner70.786 % | 68.919 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: fully resolved rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner7 % | 2 % | Vals AISource detailsData as of: 10/12/2026 |
ProofBenchOverallTest detailsNo documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner100 % | 95 % | Vals AISource detailsData as of: 10/12/2026 |
Public Benefits Bench v1.1OverallTest detailsNo documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner74.899 % | 70.433 % | Vals AISource detailsData as of: 10/12/2026 |
SAGEOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 30,000 tokens | 48.526 % | Winner51.89 % | Vals AISource detailsData as of: 10/08/2026 |
Tax Agent BenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner49.194 % | 38.281 % | Vals AISource detailsData as of: 10/12/2026 |
TaxEval v2OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 75.961 % | Winner76.942 % | Vals AISource detailsData as of: 09/01/2026 |
Terminal-Bench 2.1OverallTest detailsTest 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 Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value85.019 % | 80.524 % | Vals AISource detailsData as of: 09/28/2026 |
Terminal-Bench 4.0OverallTest detailsNo documented difference in the test setupVersion: 4.0Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner58.081 % | 41.414 % | Vals AISource detailsData as of: 10/13/2026 |
Terminal-Bench 4.0OverallTest detailsTest 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 Fable 5: Reasoning: max, Agent: Claude Code, Attempts: 330 graded trialsClaude Fable 5.1: 330 graded trials, Claude Code agent, high reasoning. Dataset version 1922072f-a433-429a-8929-350d5e1bcf02.Claude Fable 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. | 44.55 % 95% confidence interval: ±3.85Selection 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-BenchSource detailsData as of: 10/06/2026 |
Terminal-Bench ScienceOverallTest detailsNo 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 % | 15.714 % | Vals AISource detailsData as of: 10/14/2026 |
Vals IndexOverallTest detailsNo 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 % | 61.388 % | Vals AISource detailsData as of: 10/13/2026 |
Vibe Code Bench v1.1OverallTest detailsNo documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens | 90.263 % | Winner90.352 % | Vals AISource detailsData as of: 10/12/2026 |
Code MigrationCLITest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 52.809 % | Winner60.087 % | Vals AISource detailsData as of: 10/12/2026 |
EMBCompsTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner82.233 % | 70.785 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)AdjustmentsTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner54.393 % | 51.092 % | Vals AISource detailsData as of: 10/12/2026 |
GPQA DiamondFew-Shot CoTTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Tie92.929 % | Tie92.929 % | Vals AISource detailsData as of: 09/01/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passedTest detailsNo documented difference in the test setupVersion: 1Metric: criteria pass rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 89.855 % | Winner92.035 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchAdministrative / Regulatory · All-passTest detailsNo documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner68.182 % | 57.576 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchConclusion TasksTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner92.511 % | 91.775 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6EasyTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner99.068 % | 98.758 % | Vals AISource detailsData as of: 09/01/2026 |
LMArena Code Arena WebDevImage to webdevTest detailsTest 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 Fable 5: Snapshot: claude-fable-5-high, Reasoning: high, Harness: Arena Code Arena WebDevClaude Fable 5.1: Arena rating from 2,470 published pairwise votes.Claude Fable 5: Arena rating from 5,457 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. | 1,622.483 95% confidence interval: ±9.201The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/09/2026 |
LMArena Text, Style ControlBusiness, management and financeTest detailsTest 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 Fable 5: Snapshot: claude-fable-5-high, Reasoning: high, Harness: Arena Text, style controlClaude Fable 5.1: Arena rating from 2,589 published pairwise votes.Claude Fable 5: Arena rating from 8,265 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. | Higher measured value1,501.237 95% confidence interval: ±7.279The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
LMArena Vision, Style ControlChineseTest detailsTest 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 Fable 5: Snapshot: claude-fable-5-high, Reasoning: high, Harness: Arena Vision, style controlClaude Fable 5.1: Arena rating from 260 published pairwise votes.Claude Fable 5: Arena rating from 765 published pairwise votes. | 1,340.8 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. | Higher measured value1,355.183 95% confidence interval: ±23.131The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/09/2026 |
MMLU-ProBiologyTest detailsNo 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 AISource detailsData as of: 09/01/2026 |
MortgageTaxNumerical ExtractionTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner77.583 % | 76.709 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchAlmost ResolvedTest detailsNo documented difference in the test setupVersion: 1Metric: almost-resolved rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner53.5 % | 33 % | Vals AISource detailsData as of: 10/12/2026 |
SAGEAutomataTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 30,000 tokens | 34.524 % | Winner39.682 % | Vals AISource detailsData as of: 10/08/2026 |
Tax Agent BenchControversy & Precedence AnalysisTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner26.667 % | 13.333 % | Vals AISource detailsData as of: 10/12/2026 |
TaxEval v2CorrectnessTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 64.105 % | Winner65.822 % | Vals AISource detailsData as of: 09/01/2026 |
Terminal-Bench 2.1EasyTest detailsTest 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 Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | No direct winner100 % | No direct winner100 % | Vals AISource detailsData as of: 09/28/2026 |
Terminal-Bench 4.0HardwareTest detailsNo documented difference in the test setupVersion: 4.0Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner60 % | 40 % | Vals AISource detailsData as of: 10/13/2026 |
Terminal-Bench 4.0OverallTest detailsNo 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. | 44.55 % 95% confidence interval: ±3.85Selection 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-BenchSource detailsData as of: 10/06/2026 |
Terminal-Bench ScienceEarth SciencesTest detailsNo 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 | Tie25 % | Tie25 % | Vals AISource detailsData as of: 10/14/2026 |
Vals IndexCode MigrationTest detailsNo documented difference in the test setupVersion: 2.1Metric: benchmark scoreScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner60.033 % | 54.635 % | Vals AISource detailsData as of: 10/13/2026 |
Code MigrationCOBOLTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner60 % | 40 % | Vals AISource detailsData as of: 10/12/2026 |
EMBDataroomTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner86.736 % | 85.362 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)All-PassTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner47.773 % | 45.694 % | Vals AISource detailsData as of: 10/12/2026 |
GPQA DiamondZero-Shot CoTTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner93.939 % | 93.434 % | Vals AISource detailsData as of: 09/01/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolvedTest detailsNo documented difference in the test setupVersion: 1Metric: task resolution rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Tie0 % | Tie0 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchAdministrative / Regulatory · Weighted partial creditTest detailsNo documented difference in the test setupVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner92.519 % | 90.224 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchInterpretation TasksTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner86.902 % | 86.863 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6HardTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner80.571 % | 79.714 % | Vals AISource detailsData as of: 09/01/2026 |
LMArena Code Arena WebDevWebdevTest detailsTest 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 Fable 5: Snapshot: claude-fable-5-high, Reasoning: high, Harness: Arena Code Arena WebDevClaude Fable 5.1: Arena rating from 7,230 published pairwise votes.Claude Fable 5: Arena rating from 15,295 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. | 1,623.828 95% confidence interval: ±6.238The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
LMArena Text, Style ControlChineseTest detailsTest 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 Fable 5: Snapshot: claude-fable-5-high, Reasoning: high, Harness: Arena Text, style controlClaude Fable 5.1: Arena rating from 1,069 published pairwise votes.Claude Fable 5: Arena rating from 3,073 published pairwise votes. | Higher measured value1,567.304 95% confidence interval: ±18.995The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,554.631 95% confidence interval: ±11.32The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
LMArena Vision, Style ControlCreative writing visionTest detailsTest 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 Fable 5: Snapshot: claude-fable-5-high, Reasoning: high, Harness: Arena Vision, style controlClaude Fable 5.1: Arena rating from 476 published pairwise votes.Claude Fable 5: Arena rating from 1,115 published pairwise votes. | 1,289.586 95% confidence interval: ±29.623The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | Higher measured value1,320.194 95% confidence interval: ±18.881The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/09/2026 |
MMLU-ProBusinessTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner95.184 % | 93.156 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxSemantic ExtractionTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner63.99 % | 61.129 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchFully ResolvedTest detailsNo documented difference in the test setupVersion: 1Metric: fully resolved rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Winner7 % | 2 % | Vals AISource detailsData as of: 10/12/2026 |
Key to the marks:better valuebetter, but not conclusivetie | |||
Our model tests
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
Unavailable in this round
Unavailable in this round
A community classic for free-form SVG drawing.
Claude Fable 5.1

Reasoning (requested): high
Visually reviewed. This individual test does not establish overall model quality.
Claude Fable 5

Reasoning (requested): high
Visually reviewed. This individual test does not establish overall model quality.
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
Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.
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More matchups
Compare Claude Fable 5.1 and Claude Fable 5 with other leading models using the same data and benchmark logic.