Head-to-head comparison

Claude Opus 4.7 vs. Gemini 3.5 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: 203
distinct benchmark metrics: 27
latest retrieval: 2026-10-16

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 Opus 4.7 and Gemini 3.5 Flash
Attribute	Claude Opus 4.7	Gemini 3.5 Flash
Provider	Anthropic	Google
Released	Apr 2026	May 19, 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	January 2026	Not published
Technical sources	Model, Knowledge cutoff	Model

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 Opus 4.7 and Gemini 3.5 Flash
Price type	Claude Opus 4.7	Gemini 3.5 Flash
API input	$5	$1.5
API output	$25	$9
Cache read	$0.5	$0.15
Cache write (5 min.)	$6.25	Not listed
Cache write (1 hr.)	$10	Not listed
Price verified	09/22/2026 Source	09/22/2026 Source

Claude Opus 4.7Gemini 3.5 Flash

API inputUSD per 1M tokens, base tier

Claude Opus 4.7$5

Gemini 3.5 Flash$1.5

API outputUSD per 1M tokens, base tier

Claude Opus 4.7$25

Gemini 3.5 Flash$9

Cache readUSD per 1M tokens, base tier

Claude Opus 4.7$0.5

Gemini 3.5 Flash$0.15

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 Opus 4.7 and Gemini 3.5 Flash
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Claude Opus 4.7	Anthropic	Direct from developerStandard API	Lowest listed price: $5	Lowest listed price: $25	Source09/22/2026
	Amazon Bedrock	Via OpenRouteramazon-bedrock/eu-west-1	$5.5	$27.5	Source10/26/2026
	Amazon Bedrock	Via OpenRouteramazon-bedrock/global	Lowest listed price: $5	Lowest listed price: $25	Source10/26/2026
	Anthropic	Via OpenRouteranthropic	Lowest listed price: $5	Lowest listed price: $25	Source10/26/2026
	Azure	Via OpenRouterazure/global	Lowest listed price: $5	Lowest listed price: $25	Source10/26/2026
	Claude Platform on AWS	Via OpenRouterclaude-on-aws	Lowest listed price: $5	Lowest listed price: $25	Source10/26/2026
	Google	Via OpenRoutergoogle-vertex/europe	$5.5	$27.5	Source10/26/2026
	Google	Via OpenRoutergoogle-vertex/global	Lowest listed price: $5	Lowest listed price: $25	Source10/26/2026
	Google	Via OpenRoutergoogle-vertex/us	$5.5	$27.5	Source10/26/2026
Gemini 3.5 Flash	Google	Direct from developerStandard API	$1.5	$9	Source09/22/2026
	Google	Via OpenRoutergoogle-vertex/global	$1.5	$9	Source10/26/2026
	Google	Via OpenRoutergoogle-vertex/global/flex	Lowest listed price: $0.75	Lowest listed price: $4.5	Source10/26/2026
	Google	Via OpenRoutergoogle-vertex/global/priority	$2.7	$16.2	Source10/26/2026
	Google	Via OpenRoutergoogle-vertex/us	$1.65	$9.9	Source10/26/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio	$1.5	$9	Source10/26/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/flex	Lowest listed price: $0.75	Lowest listed price: $4.5	Source10/26/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/priority	$2.7	$16.2	Source10/26/2026

Benchmark index

Benchmark index compared

The index combines independent benchmarks on a scale from 0 to 100. A lead only counts when a model comes first in at least 95% of 200 recalculations with randomly redrawn test families. Otherwise both count as level.

Open the AI leaderboard

Claude Opus 4.7

Overall index

54.2

Gemini 3.5 Flash

Overall index

43.4

Claude Opus 4.7 leads in 4 of 9 shared areas. 4 areas are tied.

Area	Claude Opus 4.7	Gemini 3.5 Flash
Codingtied	38.9	31.6
Reasoningtied	46.3	38.4
Knowledgetied	59.6	62.3
Agents	72.2	33.7
Financetied	52.2	48.3
Legal	55.6	28.5
Health	61.3	41.2
Multimodal	47.9	60.9
Education	69.8	47.2

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

Claude Opus 4.7Gemini 3.5 Flash

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

Claude Opus 4.743.878 %

Gemini 3.5 Flash26.745 %

CorpFin v2Overall. Higher is better. Test setup not documented as identical

Claude Opus 4.766.084 %

Gemini 3.5 Flash64.686 %

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

Claude Opus 4.763.728 %

Gemini 3.5 Flash63.548 %

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

Claude Opus 4.751.509 %

Gemini 3.5 Flash57.861 %

GAIA ReliabilityAccuracy. Higher is better. No documented setup difference

Claude Opus 4.773.3 %

Gemini 3.5 Flash79.2 %

GPQA DiamondOverall. Higher is better. Test setup not documented as identical

Claude Opus 4.790.152 %

Gemini 3.5 Flash92.676 %

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

Claude Opus 4.76.667 %

Gemini 3.5 Flash2.5 %

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

Claude Opus 4.738.462 %

Gemini 3.5 Flash30.769 %

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

Claude Opus 4.785.251 %

Gemini 3.5 Flash83.602 %

LiveCodeBench v6Overall. Higher is better. Test setup not documented as identical

Claude Opus 4.785.073 %

Gemini 3.5 Flash87.604 %

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

Claude Opus 4.71,557.647

Gemini 3.5 Flash1,499.426

LMArena Vision, Style ControlOverall. Higher is better. No documented setup difference

Claude Opus 4.71,297.761

Gemini 3.5 Flash1,283.659

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Claude Opus 4.7 and Gemini 3.5 Flash
Benchmark and task	Claude Opus 4.7	Gemini 3.5 Flash	Source
Code MigrationOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value43.878 %	26.745 %	Vals AI Source details Data as of: 10/12/2026
CorpFin v2Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value66.084 %	64.686 %	Vals AI Source details Data as of: 08/12/2026
EMBOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value63.728 %	63.548 %	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 Opus 4.7: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	51.509 %	Higher measured value57.861 %	Vals AI Source details Data as of: 10/12/2026
GAIA ReliabilityAccuracy Test details No documented difference in the test setupVersion: final leak-cleaned public validation setMetric: exact-match accuracyScoring: Higher is betterSettings: Agent: HAL Reliability, Harness: HAL Reliability165 GAIA tasks with repeated runs and perturbations. HAL does not publish cost for this evaluation.	73.3 %	Winner79.2 %	Princeton HAL Source details Data as of: 08/06/2026
GPQA DiamondOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	90.152 %	Higher measured value92.676 %	Vals AI Source details Data as of: 09/01/2026
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 Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value6.667 %	2.5 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchOverall · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value38.462 %	30.769 %	Vals AI Source details Data as of: 10/12/2026
LegalBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value85.251 %	83.602 %	Vals AI Source details Data as of: 10/13/2026
LiveCodeBench v6Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	85.073 %	Higher measured value87.604 %	Vals AI Source details Data as of: 09/01/2026
LMArena Code Arena WebDevOverall Test details No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterClaude Opus 4.7: Snapshot: claude-opus-4-7-high, Reasoning: high, Harness: Arena Code Arena WebDev Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevClaude Opus 4.7: Arena rating from 17,973 published pairwise votes.Gemini 3.5 Flash: Arena rating from 9,415 published pairwise votes.	Winner1,557.647 95% confidence interval: ±5.751The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,499.426 95% confidence interval: ±7.264The 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 No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Opus 4.7: Snapshot: claude-opus-4-7-high, Reasoning: high, Harness: Arena Vision, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena Vision, style controlClaude Opus 4.7: Arena rating from 22,733 published pairwise votes.Gemini 3.5 Flash: Arena rating from 13,103 published pairwise votes.	Winner1,297.761 95% confidence interval: ±6.588The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,283.659 95% confidence interval: ±6.995The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	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 Opus 4.7: Compute: max, Temperature: 1, Output limit: 30,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	54.858 %	Higher measured value55.825 %	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 Opus 4.7: Compute: max, Temperature: 1, Output limit: 30,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	Higher measured value82.953 %	76.574 %	Vals AI Source details Data as of: 10/13/2026
MMLU-ProOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value89.871 %	89.515 %	Vals AI Source details Data as of: 09/01/2026
MMMU-ProOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	85.549 %	Higher measured value88.266 %	Vals AI Source details Data as of: 09/01/2026
MortgageTaxOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value70.27 %	68.124 %	Vals AI Source details Data as of: 09/01/2026
ProgramBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 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
SAGEOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	Higher measured value56.103 %	49.885 %	Vals AI Source details Data as of: 10/08/2026
SWE-bench VerifiedOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value82 %	78.8 %	Vals AI Source details Data as of: 09/01/2026
Tax Agent BenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value23.738 %	21.652 %	Vals AI Source details Data as of: 10/12/2026
TaxEval v2Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value75.266 %	74.366 %	Vals AI Source details Data as of: 09/01/2026
Terminal-Bench 2.0Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value68.539 %	67.416 %	Vals AI Source details Data as of: 06/04/2026
Terminal-Bench 2.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	68.539 %	Higher measured value74.157 %	Vals AI Source details Data as of: 09/28/2026
Vals Multimodal IndexOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: weighted index scoreScoring: Higher is betterClaude Opus 4.7: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value67.361 %	62.928 %	Vals AI Source details Data as of: 08/11/2026
Vibe Code Bench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens	Higher measured value71.003 %	48.683 %	Vals AI Source details Data as of: 10/12/2026
τ-bench Airline CleanAccuracy Test details No documented difference in the test setupVersion: 26-task cleaned subsetMetric: task success rateScoring: Higher is betterSettings: Agent: HAL Reliability, Harness: HAL Reliability26 cleaned airline tasks. Princeton HAL recomputed every metric from scratch on this subset.	Winner84.6 %	80.8 %	Princeton HAL Source details Data as of: 08/05/2026
Code MigrationCLI Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value35.171 %	17.175 %	Vals AI Source details Data as of: 10/12/2026
CorpFin v2Exact Pages Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value64.336 %	62.821 %	Vals AI Source details Data as of: 08/12/2026
EMBComps Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	64.519 %	Higher measured value69.788 %	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 Opus 4.7: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	45.366 %	Higher measured value54.869 %	Vals AI Source details Data as of: 10/12/2026
GAIA ReliabilityConsistency Test details No documented difference in the test setupVersion: final leak-cleaned public validation setMetric: aggregate consistencyScoring: Higher is betterSettings: Agent: HAL Reliability, Harness: HAL Reliability165 GAIA tasks with repeated runs and perturbations. HAL does not publish cost for this evaluation.	Winner0.81 rating points	0.75 rating points	Princeton HAL Source details Data as of: 08/06/2026
GPQA DiamondFew-Shot CoT Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	90.909 %	Higher measured value91.414 %	Vals AI Source details Data as of: 09/01/2026
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 Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value90.217 %	84.42 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchAdministrative / Regulatory · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value45.455 %	43.939 %	Vals AI Source details Data as of: 10/12/2026
LegalBenchConclusion Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value89.983 %	81.939 %	Vals AI Source details Data as of: 10/13/2026
LiveCodeBench v6Easy Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	No direct winner99.068 %	No direct winner99.068 %	Vals AI Source details Data as of: 09/01/2026
LMArena Code Arena WebDevImage to webdev Test details No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterClaude Opus 4.7: Snapshot: claude-opus-4-7-high, Reasoning: high, Harness: Arena Code Arena WebDev Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevClaude Opus 4.7: Arena rating from 6,942 published pairwise votes.Gemini 3.5 Flash: Arena rating from 2,020 published pairwise votes.	Winner1,577.804 95% confidence interval: ±9.141The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,500.53 95% confidence interval: ±13.81The 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 Vision, Style ControlChinese Test details No documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Opus 4.7: Snapshot: claude-opus-4-7-high, Reasoning: high, Harness: Arena Vision, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena Vision, style controlClaude Opus 4.7: Arena rating from 1,389 published pairwise votes.Gemini 3.5 Flash: Arena rating from 820 published pairwise votes.	1,335.891 95% confidence interval: ±18.363The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	No clear lead1,348.415 95% confidence interval: ±22.781The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
MMLU-ProBiology Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value94.561 %	93.863 %	Vals AI Source details Data as of: 09/01/2026
MortgageTaxNumerical Extraction Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value78.696 %	77.504 %	Vals AI Source details Data as of: 09/01/2026
ProgramBenchAlmost Resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: almost-resolved rateScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value9.5 %	1.5 %	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 Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	Higher measured value43.65 %	38.492 %	Vals AI Source details Data as of: 10/08/2026
SWE-bench Verified<15 min fix Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value90.206 %	86.598 %	Vals AI Source details Data as of: 09/01/2026
Tax Agent BenchControversy & Precedence Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value3.333 %	3.083 %	Vals AI Source details Data as of: 10/12/2026
TaxEval v2Correctness Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value63.778 %	61.897 %	Vals AI Source details Data as of: 09/01/2026
Terminal-Bench 2.0Easy Test details Test setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	No direct winner100 %	No direct winner100 %	Vals AI Source details Data as of: 06/04/2026
Terminal-Bench 2.1Easy Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	91.667 %	Higher measured value100 %	Vals AI Source details Data as of: 09/28/2026
Vals Multimodal IndexCorpFin v2 Test details Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value66.084 %	64.569 %	Vals AI Source details Data as of: 08/11/2026
τ-bench Airline CleanConsistency Test details No documented difference in the test setupVersion: 26-task cleaned subsetMetric: aggregate consistencyScoring: Higher is betterSettings: Agent: HAL Reliability, Harness: HAL Reliability26 cleaned airline tasks. Princeton HAL recomputed every metric from scratch on this subset.	Winner0.88 rating points	0.78 rating points	Princeton HAL Source details Data as of: 08/05/2026
Code MigrationCOBOL Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value70 %	55.455 %	Vals AI Source details Data as of: 10/12/2026
CorpFin v2Max Fitting Context Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value67.832 %	66.667 %	Vals AI Source details Data as of: 08/12/2026
EMBDataroom Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	80.91 %	Higher measured value80.921 %	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 Opus 4.7: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	38.647 %	Higher measured value45.706 %	Vals AI Source details Data as of: 10/12/2026
GAIA ReliabilityPredictability Test details No documented difference in the test setupVersion: final leak-cleaned public validation setMetric: aggregate predictabilityScoring: Higher is betterSettings: Agent: HAL Reliability, Harness: HAL Reliability165 GAIA tasks with repeated runs and perturbations. HAL does not publish cost for this evaluation.	0.73 rating points	Winner0.8 rating points	Princeton HAL Source details Data as of: 08/06/2026
GPQA DiamondZero-Shot CoT Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	89.394 %	Higher measured value93.939 %	Vals AI Source details Data as of: 09/01/2026
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 Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 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
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 Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	87.011 %	Higher measured value87.126 %	Vals AI Source details Data as of: 10/12/2026
LegalBenchInterpretation Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	83.609 %	Higher measured value88.675 %	Vals AI Source details Data as of: 10/13/2026
LiveCodeBench v6Hard Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	66.857 %	Higher measured value73.143 %	Vals AI Source details Data as of: 09/01/2026
LMArena Code Arena WebDevWebdev Test details No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterClaude Opus 4.7: Snapshot: claude-opus-4-7-high, Reasoning: high, Harness: Arena Code Arena WebDev Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevClaude Opus 4.7: Arena rating from 17,973 published pairwise votes.Gemini 3.5 Flash: Arena rating from 9,415 published pairwise votes.	Winner1,557.647 95% confidence interval: ±5.751The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,499.426 95% confidence interval: ±7.264The 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 ControlCreative writing vision Test details No documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Opus 4.7: Snapshot: claude-opus-4-7-high, Reasoning: high, Harness: Arena Vision, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena Vision, style controlClaude Opus 4.7: Arena rating from 1,448 published pairwise votes.Gemini 3.5 Flash: Arena rating from 1,103 published pairwise votes.	No clear lead1,301.602 95% confidence interval: ±16.288The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,271.63 95% confidence interval: ±19.167The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
MMLU-ProBusiness Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	No direct winner93.283 %	No direct winner93.283 %	Vals AI Source details Data as of: 09/01/2026
MortgageTaxSemantic Extraction Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value61.844 %	58.744 %	Vals AI Source details Data as of: 09/01/2026
Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Our tests

SVG short test

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

Shared test round: 43b8c5c46830

Claude Opus 4.7

Unavailable in this round

Gemini 3.5 Flash

Unavailable in this round

Earlier tests

Pelican on a bicycle

A community classic for free-form SVG drawing.

Claude Opus 4.7

Reasoning (requested): high

Current attempt

Run date: Oct 1, 2026
API provider: openrouter
Requested API model: anthropic/claude-opus-4.7
API model reported in response: anthropic/claude-opus-4.7
Reasoning setting: high
Pinned endpoint: Anthropic | anthropic/claude-4.7-opus-20260416
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: 19.9 s

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

Gemini 3.5 Flash

The response reached the token limit. No complete recording is available.

Reasoning (requested): high

Current attempt

Run date: Oct 6, 2026
API provider: openrouter
Requested API model: google/gemini-3.5-flash
API model reported in response: google/gemini-3.5-flash
Reasoning setting: high
Pinned endpoint: Google AI Studio | google/gemini-3.5-flash-20260519
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Failed
Response time: 31.7 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 Opus 4.7 and Gemini 3.5 Flash with other leading models using the same data and benchmark logic.

View the complete LLM comparison

Claude Opus 4.7 vs. Gemini 3.5 Flash

Change model selection

General specifications

API pricing compared

Benchmark index compared

Shared benchmarks

Capability profile from matched benchmarks

Our tests

SVG short test

Claude Opus 4.7

Gemini 3.5 Flash

Pelican on a bicycle

Winning one benchmark is not an overall verdict

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