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 | Gemini 3.7 Flash |
|---|---|---|
| Provider | Anthropic | |
| Released | Sep 1, 2026 | Aug 13, 2026 |
| Availability | Active | Active |
| Model type | Proprietary | Proprietary |
| Parameters | Not published | Not published |
| Architecture | Not published | Not published |
| Context window | 1,000,000 tokens | 1,048,576 tokens |
| Knowledge cutoff | June 2026 | March 2026 |
| Technical sources | Model | Model, 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 | Gemini 3.7 Flash |
|---|---|---|
| API input | $10 | $0.75 |
| API output | $50 | $3.75 |
| Cache read | $0.25 | $0.075 |
| Cache write (5 min.) | $12.5 | Not listed |
| Cache write (1 hr.) | $20 | Not listed |
| 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 | ||
| Gemini 3.7 Flash | Direct from developerStandard API | $0.75 | $3.75 | Source09/22/2026 | |
| Via OpenRoutergoogle-vertex/global | $0.75 | $3.75 | Source10/17/2026 | ||
| Via OpenRoutergoogle-vertex/global/priority | $1.35 | $6.75 | Source10/17/2026 | ||
| Via OpenRoutergoogle-vertex/us | $0.825 | $4.125 | Source10/17/2026 | ||
| Google AI Studio | Via OpenRoutergoogle-ai-studio | $0.75 | $3.75 | Source10/17/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/flex | Lowest listed price: $0.375 | Lowest listed price: $1.875 | Source10/17/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/priority | $1.35 | $6.75 | 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 | Gemini 3.7 Flash | Source |
|---|---|---|---|
Code MigrationOverallTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value54.607 % | 34.8 % | Vals AISource detailsData as of: 10/12/2026 |
CyberBench v1.1OverallTest detailsTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value70.416 % | 43.75 % | Vals AISource detailsData as of: 10/12/2026 |
EMBOverallTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value76.67 % | 71.326 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 58.877 % | Higher measured value59.042 % | Vals AISource detailsData as of: 10/12/2026 |
GPQA DiamondOverallTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 93.434 % | Higher measured value93.94 % | 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 betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 6.667 % | Higher measured value8.75 % | Vals AISource detailsData as of: 10/12/2026 |
IOIOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value90.778 % | 67.833 % | Vals AISource detailsData as of: 10/14/2026 |
Legal Research BenchOverall · All-passTest detailsTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value55.288 % | 34.615 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchOverallTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value88.511 % | 87.256 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6OverallTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value90.515 % | 88.652 % | 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 Gemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevClaude Fable 5.1: Arena rating from 7,230 published pairwise votes.Gemini 3.7 Flash: Arena rating from 11,731 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. | 1,589.906 95% confidence interval: ±6.967The 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 Gemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Text, style controlClaude Fable 5.1: Arena rating from 14,121 published pairwise votes.Gemini 3.7 Flash: Arena rating from 26,328 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. | 1,487.39 95% confidence interval: ±4.927The 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 Gemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Vision, style controlClaude Fable 5.1: Arena rating from 4,648 published pairwise votes.Gemini 3.7 Flash: Arena rating from 4,524 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 value1,296.875 95% confidence interval: ±9.827The 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens | Higher measured value53.509 % | 53.39 % | 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens | Higher measured value91.294 % | 83.942 % | Vals AISource detailsData as of: 10/13/2026 |
MMLU-ProOverallTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value92.375 % | 90.121 % | Vals AISource detailsData as of: 09/01/2026 |
MMMU-ProOverallTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value90.636 % | 88.96 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxOverallTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value70.786 % | 66.654 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value7 % | 0 % | Vals AISource detailsData as of: 10/12/2026 |
ProofBenchOverallTest detailsTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value100 % | 58 % | Vals AISource detailsData as of: 10/12/2026 |
SAGEOverallTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens | 48.526 % | Higher measured value49.232 % | Vals AISource detailsData as of: 10/08/2026 |
SkillsBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens | 61.552 % | Higher measured value65.891 % | Vals AISource detailsData as of: 09/27/2026 |
SRE BenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: fully solved rateScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value22.901 % | 4.58 % | Vals AISource detailsData as of: 10/14/2026 |
Tax Agent BenchOverallTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value49.194 % | 22.798 % | Vals AISource detailsData as of: 10/12/2026 |
TaxEval v2OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value75.961 % | 74.734 % | 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value85.019 % | 77.528 % | Vals AISource detailsData as of: 09/28/2026 |
Terminal-Bench 4.0OverallTest detailsTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value58.081 % | 12.121 % | Vals AISource detailsData as of: 10/13/2026 |
Terminal-Bench ScienceOverallTest detailsTest 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 Gemini 3.7 Flash: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 tokens | Higher measured value40 % | 7.143 % | Vals AISource detailsData as of: 10/14/2026 |
Vals IndexOverallTest detailsTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value65.827 % | 51.273 % | Vals AISource detailsData as of: 10/13/2026 |
Vibe Code Bench v1.1OverallTest detailsTest 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 Gemini 3.7 Flash: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens | Higher measured value90.263 % | 70.395 % | Vals AISource detailsData as of: 10/12/2026 |
Code MigrationCLITest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value52.809 % | 23.543 % | Vals AISource detailsData as of: 10/12/2026 |
CyberBench v1.1PatchTest detailsTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | No direct winner87.5 % | No direct winner87.5 % | Vals AISource detailsData as of: 10/12/2026 |
EMBCompsTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value82.233 % | 74.609 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)AdjustmentsTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 54.393 % | Higher measured value54.718 % | Vals AISource detailsData as of: 10/12/2026 |
GPQA DiamondFew-Shot CoTTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 92.929 % | Higher measured value95.455 % | 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 betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value89.855 % | 89.493 % | Vals AISource detailsData as of: 10/12/2026 |
IOIIOI 2024Test detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value100 % | 72.833 % | Vals AISource detailsData as of: 10/14/2026 |
Legal Research BenchAdministrative / Regulatory · All-passTest detailsTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value68.182 % | 42.424 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchConclusion TasksTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value92.511 % | 91.146 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6EasyTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | No direct winner99.068 % | No direct winner99.068 % | 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 Gemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevClaude Fable 5.1: Arena rating from 2,470 published pairwise votes.Gemini 3.7 Flash: Arena rating from 2,144 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. | 1,603.335 95% confidence interval: ±13.34The 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 Gemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Text, style controlClaude Fable 5.1: Arena rating from 2,589 published pairwise votes.Gemini 3.7 Flash: Arena rating from 4,791 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. | 1,482.815 95% confidence interval: ±9.166The 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 Gemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Vision, style controlClaude Fable 5.1: Arena rating from 260 published pairwise votes.Gemini 3.7 Flash: Arena rating from 246 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 value1,367.09 95% confidence interval: ±37.432The 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 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value96.095 % | 94.7 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxNumerical ExtractionTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value77.583 % | 75.676 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchAlmost ResolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: almost-resolved rateScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value53.5 % | 9.5 % | Vals AISource detailsData as of: 10/12/2026 |
SAGEAutomataTest 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 Gemini 3.7 Flash: Reasoning: high, 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 betterClaude Fable 5.1: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens | 44.828 % | Higher measured value44.887 % | Vals AISource detailsData as of: 09/27/2026 |
SRE BenchCapability ScoreTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: capability scoreScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value36.641 % | 14.186 % | Vals AISource detailsData as of: 10/14/2026 |
Tax Agent BenchControversy & Precedence AnalysisTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value26.667 % | 6.667 % | Vals AISource detailsData as of: 10/12/2026 |
TaxEval v2CorrectnessTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value64.105 % | 63.614 % | 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value100 % | 91.667 % | Vals AISource detailsData as of: 09/28/2026 |
Terminal-Bench 4.0HardwareTest detailsTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value60 % | 13.333 % | Vals AISource detailsData as of: 10/13/2026 |
Terminal-Bench ScienceEarth SciencesTest detailsTest 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 Gemini 3.7 Flash: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 tokens | Higher measured value25 % | 0 % | Vals AISource detailsData as of: 10/14/2026 |
Vals IndexCode MigrationTest detailsTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value60.033 % | 28.997 % | Vals AISource detailsData as of: 10/13/2026 |
Code MigrationCOBOLTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 60 % | Higher measured value68.571 % | Vals AISource detailsData as of: 10/12/2026 |
CyberBench v1.1PoCTest detailsTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value53.333 % | 0 % | Vals AISource detailsData as of: 10/12/2026 |
EMBDataroomTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value86.736 % | 86.481 % | 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 betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value47.773 % | 47.45 % | Vals AISource detailsData as of: 10/12/2026 |
GPQA DiamondZero-Shot CoTTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value93.939 % | 92.424 % | 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 betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | No direct winner0 % | No direct winner0 % | Vals AISource detailsData as of: 10/12/2026 |
IOIIOI 2025Test detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5.1: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value87.167 % | 69.833 % | Vals AISource detailsData as of: 10/14/2026 |
Legal Research BenchAdministrative / Regulatory · Weighted partial creditTest detailsTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value92.519 % | 85.147 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchInterpretation TasksTest 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 Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value86.902 % | 84.608 % | Vals AISource detailsData as of: 10/13/2026 |
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.
Gemini 3.7 Flash
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.
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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 Gemini 3.7 Flash with other leading models using the same data and benchmark logic.