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 Sonnet 4.6 |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Released | Sep 1, 2026 | Feb 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 | August 2025 |
| Technical sources | Model | Model, Context |
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 Sonnet 4.6 |
|---|---|---|
| API input | $10 | $3 |
| API output | $50 | $15 |
| Cache read | $0.25 | $0.3 |
| Cache write (5 min.) | $12.5 | $3.75 |
| Cache write (1 hr.) | $20 | $6 |
| 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 Sonnet 4.6 | Anthropic | Direct from developerStandard API | Lowest listed price: $3 | Lowest listed price: $15 | Source09/22/2026 |
| Amazon Bedrock | Via OpenRouteramazon-bedrock/eu-west-1 | $3.3 | $16.5 | Source10/17/2026 | |
| Amazon Bedrock | Via OpenRouteramazon-bedrock/global | Lowest listed price: $3 | Lowest listed price: $15 | Source10/17/2026 | |
| Amazon Bedrock | Via OpenRouteramazon-bedrock/us | $3.3 | $16.5 | Source10/17/2026 | |
| Anthropic | Via OpenRouteranthropic | Lowest listed price: $3 | Lowest listed price: $15 | Source10/17/2026 | |
| Azure | Via OpenRouterazure/global | Lowest listed price: $3 | Lowest listed price: $15 | Source10/17/2026 | |
| Claude Platform on AWS | Via OpenRouterclaude-on-aws | Lowest listed price: $3 | Lowest listed price: $15 | Source10/17/2026 | |
| Via OpenRoutergoogle-vertex/europe | $3.3 | $16.5 | Source10/17/2026 | ||
| Via OpenRoutergoogle-vertex/global | Lowest listed price: $3 | Lowest listed price: $15 | Source10/17/2026 | ||
| Via OpenRoutergoogle-vertex/us-east5 | $3.3 | $16.5 | 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.
Not enough directly matched categories for a reliable radar
Only 0 of at least 5 categories have comparable, direct model measurements. The benchmark tables below show the available evidence without filling missing axes.
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | Claude Fable 5.1 | Claude Sonnet 4.6 | Source |
|---|---|---|---|
Code MigrationOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value54.607 % | 39.892 % | Vals AISource detailsData as of: 10/12/2026 |
EMBOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value76.67 % | 60.154 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value58.877 % | 51.035 % | Vals AISource detailsData as of: 10/12/2026 |
GPQA DiamondOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value93.434 % | 85.606 % | Vals AISource detailsData as of: 09/01/2026 |
Harvey's Legal Agent BenchmarkOverall · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value6.667 % | 5 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchOverall · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value55.288 % | 38.462 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value88.511 % | 82.12 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value90.515 % | 82.091 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value92.375 % | 87.341 % | Vals AISource detailsData as of: 09/01/2026 |
MMMU-ProOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value90.636 % | 83.584 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value70.786 % | 67.726 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value7 % | 0.5 % | Vals AISource detailsData as of: 10/12/2026 |
Public Benefits Bench v1.1OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value74.899 % | 62.449 % | Vals AISource detailsData as of: 10/12/2026 |
SAGEOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 30,000 tokens | Higher measured value48.526 % | 46.582 % | Vals AISource detailsData as of: 10/08/2026 |
SkillsBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens | Higher measured value61.552 % | 49.052 % | Vals AISource detailsData as of: 09/27/2026 |
Tax Agent BenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value49.194 % | 25.84 % | Vals AISource detailsData as of: 10/12/2026 |
TaxEval v2OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 75.961 % | Higher measured value77.106 % | 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 Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value85.019 % | 57.303 % | Vals AISource detailsData as of: 09/28/2026 |
Vibe Code Bench v1.1OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens | Higher measured value90.263 % | 51.476 % | Vals AISource detailsData as of: 10/12/2026 |
Code MigrationCLITest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value52.809 % | 30.333 % | Vals AISource detailsData as of: 10/12/2026 |
EMBCompsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value82.233 % | 61.52 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)AdjustmentsTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value54.393 % | 48.92 % | Vals AISource detailsData as of: 10/12/2026 |
GPQA DiamondFew-Shot CoTTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value92.929 % | 85.859 % | Vals AISource detailsData as of: 09/01/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value89.855 % | 87.319 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchAdministrative / Regulatory · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value68.182 % | 43.939 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchConclusion TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value92.511 % | 87.991 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6EasyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value99.068 % | 98.758 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProBiologyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value96.095 % | 92.748 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxNumerical ExtractionTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value77.583 % | 74.96 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchAlmost ResolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: almost-resolved rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value53.5 % | 2 % | Vals AISource detailsData as of: 10/12/2026 |
SAGEAutomataTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 30,000 tokens | 34.524 % | Higher measured value35.318 % | Vals AISource detailsData as of: 10/08/2026 |
SkillsBenchNo SkillsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens | Higher measured value44.828 % | 27.827 % | Vals AISource detailsData as of: 09/27/2026 |
Tax Agent BenchControversy & Precedence AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value26.667 % | 10 % | Vals AISource detailsData as of: 10/12/2026 |
TaxEval v2CorrectnessTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 64.105 % | Higher measured value65.822 % | 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 Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | No direct winner100 % | No direct winner100 % | Vals AISource detailsData as of: 09/28/2026 |
Code MigrationCOBOLTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 60 % | Higher measured value68.571 % | Vals AISource detailsData as of: 10/12/2026 |
EMBDataroomTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value86.736 % | 78.493 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)All-PassTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value47.773 % | 38.795 % | Vals AISource detailsData as of: 10/12/2026 |
GPQA DiamondZero-Shot CoTTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value93.939 % | 85.354 % | Vals AISource detailsData as of: 09/01/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | No direct winner0 % | No direct winner0 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchAdministrative / Regulatory · Weighted partial creditTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value92.519 % | 86.797 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchInterpretation TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value86.902 % | 82.469 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6HardTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value80.571 % | 60.571 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProBusinessTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value95.184 % | 91.888 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxSemantic ExtractionTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value63.99 % | 60.493 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchFully ResolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value7 % | 0.5 % | Vals AISource detailsData as of: 10/12/2026 |
SAGECalculusTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 30,000 tokens Claude Sonnet 4.6: Temperature: 1, Output limit: 30,000 tokens | Higher measured value83.642 % | 60.494 % | Vals AISource detailsData as of: 10/08/2026 |
SkillsBenchWith SkillsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens | Higher measured value61.552 % | 49.052 % | Vals AISource detailsData as of: 09/27/2026 |
Tax Agent BenchControversy & Precedence AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value70.553 % | 57.949 % | Vals AISource detailsData as of: 10/12/2026 |
TaxEval v2Stepwise ReasoningTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 87.817 % | Higher measured value88.389 % | Vals AISource detailsData as of: 09/01/2026 |
Terminal-Bench 2.1HardTest 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 Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value82.222 % | 34.444 % | Vals AISource detailsData as of: 09/28/2026 |
Code MigrationCode QualityTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value4.513 / 5 | 3.997 / 5 | Vals AISource detailsData as of: 10/12/2026 |
EMBDCFTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value69.88 % | 38.28 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)ComparablesTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value45.982 % | 41.003 % | Vals AISource detailsData as of: 10/12/2026 |
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Criteria passedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value89.606 % | 85.663 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchBusiness & Commercial · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value62.791 % | 34.884 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchIssue TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value92.72 % | 86.574 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6MediumTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value91.906 % | 86.945 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProChemistryTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value93.816 % | 91.873 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchRaw Pass RateTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: raw test pass rateScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value82.688 % | 59.103 % | Vals AISource detailsData as of: 10/12/2026 |
SAGELinear AlgebraTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 30,000 tokens | Higher measured value71.371 % | 63.158 % | Vals AISource detailsData as of: 10/08/2026 |
Tax Agent BenchCurrent & Temporal AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value59.816 % | 33.151 % | Vals AISource detailsData as of: 10/12/2026 |
Terminal-Bench 2.1MediumTest 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 Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value85.455 % | 66.667 % | Vals AISource detailsData as of: 09/28/2026 |
EMBLBOTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterSettings: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value69.64 % | 52.536 % | 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

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 Sonnet 4.6
The response reached the token limit. No complete recording is available.
Reasoning (requested): high
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
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.
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 4.6 with other leading models using the same data and benchmark logic.