Head-to-head comparison

Claude Sonnet 5.5 vs. Gemini 3.7 Flash

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

shared result series: 196
distinct benchmarks: 22
latest retrieval: 2026-10-15

First modelSecond model

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 Sonnet 5.5 and Gemini 3.7 Flash
Attribute	Claude Sonnet 5.5	Gemini 3.7 Flash
Provider	Anthropic	Google
Released	Sep 28, 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

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 Sonnet 5.5 and Gemini 3.7 Flash
Price type	Claude Sonnet 5.5	Gemini 3.7 Flash
API input	$2	$0.75
API output	$10	$3.75
Cache read	$0.1	$0.075
Cache write (5 min.)	$2.5	Not listed
Cache write (1 hr.)	$4	Not listed
Price verified	10/13/2026 Source	09/22/2026 Source

Claude Sonnet 5.5Gemini 3.7 Flash

API inputUSD per 1M tokens, base tier

Claude Sonnet 5.5$2

Gemini 3.7 Flash$0.75

API outputUSD per 1M tokens, base tier

Claude Sonnet 5.5$10

Gemini 3.7 Flash$3.75

Cache readUSD per 1M tokens, base tier

Claude Sonnet 5.5$0.1

Gemini 3.7 Flash$0.075

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 Sonnet 5.5 and Gemini 3.7 Flash
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Claude Sonnet 5.5	Anthropic	Direct from developerStandard API	Lowest listed price: $2	Lowest listed price: $10	Source10/13/2026
	Amazon Bedrock	Via OpenRouteramazon-bedrock	Lowest listed price: $2	Lowest listed price: $10	Source10/17/2026
	Anthropic	Via OpenRouteranthropic	Lowest listed price: $2	Lowest listed price: $10	Source10/17/2026
	Azure	Via OpenRouterazure/global	Lowest listed price: $2	Lowest listed price: $10	Source10/17/2026
	Azure	Via OpenRouterazure/us	$2.2	$11	Source10/17/2026
	Claude Platform on AWS	Via OpenRouterclaude-on-aws	Lowest listed price: $2	Lowest listed price: $10	Source10/17/2026
	Google	Via OpenRoutergoogle-vertex/europe	$2.2	$11	Source10/17/2026
	Google	Via OpenRoutergoogle-vertex/global	Lowest listed price: $2	Lowest listed price: $10	Source10/17/2026
	Google	Via OpenRoutergoogle-vertex/us	$2.2	$11	Source10/17/2026
Gemini 3.7 Flash	Google	Direct from developerStandard API	$0.75	$3.75	Source09/22/2026
	Google	Via OpenRoutergoogle-vertex/global	$0.75	$3.75	Source10/17/2026
	Google	Via OpenRoutergoogle-vertex/global/priority	$1.35	$6.75	Source10/17/2026
	Google	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

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.

Not enough directly matched categories for a reliable radar

Only 1 of at least 5 categories have comparable, direct model measurements. The benchmark tables below show the available evidence without filling missing axes.

Claude Sonnet 5.5Gemini 3.7 Flash

Code MigrationOverall. Higher is better. Test setup not documented as identical

Claude Sonnet 5.569.825 %

Gemini 3.7 Flash34.8 %

CyberBench v1.1Overall. Higher is better. Test setup not documented as identical

Claude Sonnet 5.559.584 %

Gemini 3.7 Flash43.75 %

EMBOverall. Higher is better. Test setup not documented as identical

Claude Sonnet 5.575.713 %

Gemini 3.7 Flash71.326 %

Finance Agent (v2)Overall. Higher is better. Test setup not documented as identical

Claude Sonnet 5.558.103 %

Gemini 3.7 Flash59.042 %

Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. Test setup not documented as identical

Claude Sonnet 5.52.917 %

Gemini 3.7 Flash8.75 %

IOIOverall. Higher is better. Test setup not documented as identical

Claude Sonnet 5.583.056 %

Gemini 3.7 Flash67.833 %

Legal Research BenchOverall · All-pass. Higher is better. Test setup not documented as identical

Claude Sonnet 5.548.077 %

Gemini 3.7 Flash34.615 %

LMArena Code Arena WebDevOverall. Higher is better. No documented setup difference

Claude Sonnet 5.51,712.984

Gemini 3.7 Flash1,589.906

LMArena Text, Style ControlOverall. Higher is better. Test setup not documented as identical

Claude Sonnet 5.51,475.266

Gemini 3.7 Flash1,487.39

LMArena Vision, Style ControlOverall. Higher is better. Test setup not documented as identical

Claude Sonnet 5.51,266.189

Gemini 3.7 Flash1,296.875

MedCodeOverall. Higher is better. Test setup not documented as identical

Claude Sonnet 5.552.92 %

Gemini 3.7 Flash53.39 %

MedScribeOverall. Higher is better. Test setup not documented as identical

Claude Sonnet 5.591.101 %

Gemini 3.7 Flash83.942 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Claude Sonnet 5.5 and Gemini 3.7 Flash
Benchmark and task	Claude Sonnet 5.5	Gemini 3.7 Flash	Source
Code MigrationOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value69.825 %	34.8 %	Vals AI Source details Data as of: 10/12/2026
CyberBench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value59.584 %	43.75 %	Vals AI Source details Data as of: 10/12/2026
EMBOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value75.713 %	71.326 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	58.103 %	Higher measured value59.042 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	2.917 %	Higher measured value8.75 %	Vals AI Source details Data as of: 10/12/2026
IOIOverall Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value83.056 %	67.833 %	Vals AI Source details Data as of: 10/14/2026
Legal Research BenchOverall · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value48.077 %	34.615 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevOverall Test details No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterClaude Sonnet 5.5: Snapshot: claude-sonnet-5.5-high, Reasoning: high, Harness: Arena Code Arena WebDev Gemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevClaude Sonnet 5.5: Arena rating from 4,605 published pairwise votes.Gemini 3.7 Flash: Arena rating from 11,731 published pairwise votes.	Winner1,712.984 95% confidence interval: ±10.362The 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.	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 Sonnet 5.5: Snapshot: claude-sonnet-5.5-xhigh, Reasoning: xhigh, Harness: Arena Text, style control Gemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Text, style controlClaude Sonnet 5.5: Arena rating from 6,254 published pairwise votes.Gemini 3.7 Flash: Arena rating from 26,328 published pairwise votes.	1,475.266 95% confidence interval: ±7.984The 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 value1,487.39 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.	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 Sonnet 5.5: Snapshot: claude-sonnet-5.5-xhigh, Reasoning: xhigh, Harness: Arena Vision, style control Gemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Vision, style controlClaude Sonnet 5.5: Arena rating from 2,068 published pairwise votes.Gemini 3.7 Flash: Arena rating from 4,524 published pairwise votes.	1,266.189 95% confidence interval: ±13.713The 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.	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 Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	52.92 %	Higher measured value53.39 %	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 Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	Higher measured value91.101 %	83.942 %	Vals AI Source details Data as of: 10/13/2026
ProgramBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value6.5 %	0 %	Vals AI Source details Data as of: 10/12/2026
ProofBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: 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 AI Source details Data as of: 10/12/2026
SAGEOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	Higher measured value51.772 %	49.232 %	Vals AI Source details Data as of: 10/08/2026
SRE BenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully solved rateScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value30.153 %	4.58 %	Vals AI Source details Data as of: 10/14/2026
Tax Agent BenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value41.959 %	22.798 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 2.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value83.146 %	77.528 %	Vals AI Source details Data as of: 09/28/2026
Terminal-Bench 4.0Overall Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value64.141 %	12.121 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceOverall Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: 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 value47.143 %	7.143 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexOverall Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: weighted index scoreScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value67.037 %	51.273 %	Vals AI Source details Data as of: 10/13/2026
Vibe Code Bench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: 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 value92.392 %	70.395 %	Vals AI Source details Data as of: 10/12/2026
Code MigrationCLI Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value69.766 %	23.543 %	Vals AI Source details Data as of: 10/12/2026
CyberBench v1.1Patch Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: 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 AI Source details Data as of: 10/12/2026
EMBComps Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value80.042 %	74.609 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Adjustments Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	52.746 %	Higher measured value54.718 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	85.145 %	Higher measured value89.493 %	Vals AI Source details Data as of: 10/12/2026
IOIIOI 2024 Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value85 %	72.833 %	Vals AI Source details Data as of: 10/14/2026
Legal Research BenchAdministrative / Regulatory · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value69.697 %	42.424 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevOverall Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterClaude Sonnet 5.5: Snapshot: claude-sonnet-5.5-xhigh, Reasoning: xhigh, Harness: Arena Code Arena WebDev Gemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevClaude Sonnet 5.5: Arena rating from 2,858 published pairwise votes.Gemini 3.7 Flash: Arena rating from 11,731 published pairwise votes.	Higher measured value1,773.661 95% confidence interval: ±13.85The 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.	LMArena Source details Data as of: 10/13/2026
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 Sonnet 5.5: Snapshot: claude-sonnet-5.5-xhigh, Reasoning: xhigh, Harness: Arena Text, style control Gemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Text, style controlClaude Sonnet 5.5: Arena rating from 1,089 published pairwise votes.Gemini 3.7 Flash: Arena rating from 4,791 published pairwise votes.	1,466.655 95% confidence interval: ±17.914The 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 value1,482.815 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.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlDiagram Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Sonnet 5.5: Snapshot: claude-sonnet-5.5-xhigh, Reasoning: xhigh, Harness: Arena Vision, style control Gemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Vision, style controlClaude Sonnet 5.5: Arena rating from 514 published pairwise votes.Gemini 3.7 Flash: Arena rating from 1,167 published pairwise votes.	1,320.26 95% confidence interval: ±26.586The 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 value1,320.518 95% confidence interval: ±18.046The 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
ProgramBenchAlmost Resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: almost-resolved rateScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value49.5 %	9.5 %	Vals AI Source details Data as of: 10/12/2026
SAGEAutomata Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	Higher measured value43.254 %	35.318 %	Vals AI Source details Data as of: 10/08/2026
SRE BenchCapability Score Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: capability scoreScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value51.59 %	14.186 %	Vals AI Source details Data as of: 10/14/2026
Tax Agent BenchControversy & Precedence Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value16.667 %	6.667 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 2.1Easy Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	No direct winner91.667 %	No direct winner91.667 %	Vals AI Source details Data as of: 09/28/2026
Terminal-Bench 4.0Hardware Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: 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 %	13.333 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceEarth Sciences Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: 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 value12.5 %	0 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexCode Migration Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value70.131 %	28.997 %	Vals AI Source details Data as of: 10/13/2026
Code MigrationCOBOL Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: 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 %	68.571 %	Vals AI Source details Data as of: 10/12/2026
CyberBench v1.1PoC Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value31.667 %	0 %	Vals AI Source details Data as of: 10/12/2026
EMBDataroom Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	86.27 %	Higher measured value86.481 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)All-Pass Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value47.59 %	47.45 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterClaude Sonnet 5.5: 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 AI Source details Data as of: 10/12/2026
IOIIOI 2025 Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value88.333 %	69.833 %	Vals AI Source details Data as of: 10/14/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value91.346 %	85.147 %	Vals AI Source details Data as of: 10/12/2026
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 Sonnet 5.5: Snapshot: claude-sonnet-5.5-xhigh, Reasoning: xhigh, Harness: Arena Code Arena WebDev Gemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevClaude Sonnet 5.5: Arena rating from 1,074 published pairwise votes.Gemini 3.7 Flash: Arena rating from 2,144 published pairwise votes.	Higher measured value1,740.047 95% confidence interval: ±19.9The 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.	LMArena Source details Data as of: 10/09/2026
LMArena Text, Style ControlChinese Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Sonnet 5.5: Snapshot: claude-sonnet-5.5-xhigh, Reasoning: xhigh, Harness: Arena Text, style control Gemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Text, style controlClaude Sonnet 5.5: Arena rating from 508 published pairwise votes.Gemini 3.7 Flash: Arena rating from 2,048 published pairwise votes.	Higher measured value1,546.494 95% confidence interval: ±26.454The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,543.6 95% confidence interval: ±13.67The 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 ControlEnglish Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Sonnet 5.5: Snapshot: claude-sonnet-5.5-xhigh, Reasoning: xhigh, Harness: Arena Vision, style control Gemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Vision, style controlClaude Sonnet 5.5: Arena rating from 657 published pairwise votes.Gemini 3.7 Flash: Arena rating from 1,554 published pairwise votes.	1,266.361 95% confidence interval: ±23.51The 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 value1,286.142 95% confidence interval: ±15.968The 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
ProgramBenchFully Resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value6.5 %	0 %	Vals AI Source details Data as of: 10/12/2026
SAGECalculus Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	78.395 %	Higher measured value83.642 %	Vals AI Source details Data as of: 10/08/2026
SRE BenchFully Solved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully solved rateScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value30.153 %	4.58 %	Vals AI Source details Data as of: 10/14/2026
Tax Agent BenchControversy & Precedence Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value65.191 %	45.997 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 2.1Hard Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value76.667 %	64.444 %	Vals AI Source details Data as of: 09/28/2026
Terminal-Bench 4.0Media Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: 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 %	0 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceEngineering Sciences Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: 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 value44.444 %	0 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexEMB Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value75.713 %	71.326 %	Vals AI Source details Data as of: 10/13/2026
Code MigrationCode Quality Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value4.601 / 5	3.664 / 5	Vals AI Source details Data as of: 10/12/2026
EMBDCF Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value70.065 %	66.059 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Comparables Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	47.089 %	Higher measured value50.283 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Criteria passed Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	36.918 %	Higher measured value86.738 %	Vals AI Source details Data as of: 10/12/2026
IOIIOI 2026 Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value75.833 %	60.833 %	Vals AI Source details Data as of: 10/14/2026
Legal Research BenchBusiness & Commercial · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Sonnet 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value39.535 %	37.209 %	Vals AI Source details Data as of: 10/12/2026
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 Sonnet 5.5

Unavailable in this round

Gemini 3.7 Flash

Unavailable in this round

Earlier tests

Pelican on a bicycle

A community classic for free-form SVG drawing.

Claude Sonnet 5.5

Reasoning (requested): high

Current attempt

Run date: Oct 1, 2026
API provider: openrouter
Requested API model: anthropic/claude-sonnet-5.5
API model reported in response: anthropic/claude-sonnet-5.5
Reasoning setting: high
Pinned endpoint: Anthropic | anthropic/claude-sonnet-5.5-20260928
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: 28.2 s

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

Current attempt

Run date: Oct 5, 2026
API provider: openrouter
Requested API model: google/gemini-3.7-flash
API model reported in response: google/gemini-3.7-flash
Reasoning setting: high
Pinned endpoint: Google AI Studio | google/gemini-3.7-flash-20260813
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Failed
Response time: 28.8 s

Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.

Earlier attempts (3)

Oct 2, 2026API request failedReasoning setting: high
Oct 1, 2026API request failedReasoning setting: high
Sep 7, 2026API request failedReasoning setting: high

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 Sonnet 5.5 and Gemini 3.7 Flash with other leading models using the same data and benchmark logic.

View the complete LLM comparison

Claude Sonnet 5.5 vs. Gemini 3.7 Flash

Change model selection

General specifications

API pricing compared

Shared benchmarks

Capability profile from matched benchmarks

Our tests

SVG short test

Claude Sonnet 5.5

Gemini 3.7 Flash

Pelican on a bicycle

Winning one benchmark is not an overall verdict

Related LLM comparisons