Claude Opus 4.7
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 Opus 4.7 | Gemini 3.8 Flash |
|---|---|---|
| Provider | Anthropic | |
| Released | Apr 2026 | Sep 2, 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 | March 2026 |
| Technical sources | Model, Knowledge cutoff | 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 Opus 4.7 | Gemini 3.8 Flash |
|---|---|---|
| API input | $5 | $0.75 |
| API output | $25 | $3.75 |
| Cache read | $0.5 | $0.075 |
| 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 |
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 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 | |
| Via OpenRoutergoogle-vertex/europe | $5.5 | $27.5 | Source10/26/2026 | ||
| Via OpenRoutergoogle-vertex/global | Lowest listed price: $5 | Lowest listed price: $25 | Source10/26/2026 | ||
| Via OpenRoutergoogle-vertex/us | $5.5 | $27.5 | Source10/26/2026 | ||
| Gemini 3.8 Flash | Direct from developerStandard API | $0.75 | $3.75 | Source09/22/2026 | |
| Via OpenRoutergoogle-vertex/global | $0.75 | $3.75 | Source10/26/2026 | ||
| Via OpenRoutergoogle-vertex/global/priority | $1.35 | $6.75 | Source10/26/2026 | ||
| Google AI Studio | Via OpenRoutergoogle-ai-studio | $0.75 | $3.75 | Source10/26/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/flex | Lowest listed price: $0.375 | Lowest listed price: $1.875 | Source10/26/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/priority | $1.35 | $6.75 | Source10/26/2026 |
Benchmark index
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.
Gemini 3.8 Flash leads in 5 of 9 shared areas. 3 areas are tied.
| Area | Claude Opus 4.7 | Gemini 3.8 Flash |
|---|---|---|
| Coding | 38.9 | 53.1 |
| Reasoning | 46.3 | 74.6 |
| Knowledge | 59.6 | 77.6 |
| Agentstied | 72.2 | 64.6 |
| Financetied | 52.2 | 72.4 |
| Legal | 55.6 | 70.3 |
| Healthtied | 61.3 | 56.8 |
| Multimodal | 47.9 | 77.4 |
| Education | 69.8 | 39.8 |
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 2 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 Opus 4.7 | Gemini 3.8 Flash | Source |
|---|---|---|---|
Code MigrationOverallTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value43.878 % | 36.546 % | Vals AISource detailsData as of: 10/12/2026 |
EMBOverallTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 63.728 % | Higher measured value72.196 % | 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 Opus 4.7: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 51.509 % | Higher measured value61.435 % | Vals AISource detailsData as of: 10/12/2026 |
GPQA DiamondOverallTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 90.152 % | Higher measured value94.444 % | 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 Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 6.667 % | Higher measured value10 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchOverall · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 38.462 % | Higher measured value38.942 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchOverallTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 85.251 % | Higher measured value86.993 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6OverallTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 85.073 % | Higher measured value89.484 % | 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 Opus 4.7: Snapshot: claude-opus-4-7, Harness: Arena Code Arena WebDev Gemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevClaude Opus 4.7: Arena rating from 18,304 published pairwise votes.Gemini 3.8 Flash: Arena rating from 10,077 published pairwise votes. | 1,555.463 95% confidence interval: ±5.615The 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 value1,584.77 95% confidence interval: ±7.59The 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 Opus 4.7: Snapshot: claude-opus-4-7, Harness: Arena Vision, style control Gemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style controlClaude Opus 4.7: Arena rating from 23,165 published pairwise votes.Gemini 3.8 Flash: Arena rating from 3,792 published pairwise votes. | Higher measured value1,298.22 95% confidence interval: ±6.602The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,289.129 95% confidence interval: ±10.62The 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 Opus 4.7: Compute: max, Temperature: 1, Output limit: 30,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value54.858 % | 48.135 % | Vals AISource detailsData as of: 10/13/2026 |
MedScribeOverallTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 82.953 % | Higher measured value84.496 % | Vals AISource detailsData as of: 10/13/2026 |
MMLU-ProOverallTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 89.871 % | Higher measured value90.221 % | Vals AISource detailsData as of: 09/01/2026 |
MMMU-ProOverallTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 85.549 % | Higher measured value89.075 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxOverallTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value70.27 % | 65.342 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchOverallTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 0 % | Higher measured value1 % | Vals AISource detailsData as of: 10/12/2026 |
SAGEOverallTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens | Higher measured value56.103 % | 35.064 % | Vals AISource detailsData as of: 10/08/2026 |
SWE-bench VerifiedOverallTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value82 % | 80 % | Vals AISource detailsData as of: 09/01/2026 |
Tax Agent BenchOverallTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 23.738 % | Higher measured value32.124 % | Vals AISource detailsData as of: 10/12/2026 |
TaxEval v2OverallTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value75.266 % | 74.448 % | 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 Opus 4.7: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 68.539 % | Higher measured value81.273 % | Vals AISource detailsData as of: 09/28/2026 |
Vibe Code Bench v1.1OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens | 71.003 % | Higher measured value78.651 % | Vals AISource detailsData as of: 10/12/2026 |
Code MigrationCLITest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value35.171 % | 25.871 % | Vals AISource detailsData as of: 10/12/2026 |
EMBCompsTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 64.519 % | Higher measured value76.435 % | 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 Opus 4.7: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 45.366 % | Higher measured value54.828 % | 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 Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 90.909 % | Higher measured value94.949 % | 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 Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value90.217 % | 87.681 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchAdministrative / Regulatory · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 45.455 % | Higher measured value46.97 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchConclusion TasksTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 89.983 % | Higher measured value90.691 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6EasyTest detailsTest 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 3.8 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 WebDevOverallTest detailsNo 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 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevClaude Opus 4.7: Arena rating from 17,973 published pairwise votes.Gemini 3.8 Flash: Arena rating from 10,077 published pairwise votes. | 1,557.647 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. | Winner1,584.77 95% confidence interval: ±7.59The 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 detailsNo 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 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style controlClaude Opus 4.7: Arena rating from 22,733 published pairwise votes.Gemini 3.8 Flash: Arena rating from 3,792 published pairwise votes. | No clear lead1,297.761 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. | 1,289.129 95% confidence interval: ±10.62The 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 Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 94.561 % | Higher measured value94.979 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxNumerical ExtractionTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value78.696 % | 70.588 % | 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 Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 9.5 % | Higher measured value14 % | Vals AISource detailsData as of: 10/12/2026 |
SAGEAutomataTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens | Higher measured value43.65 % | 33.334 % | Vals AISource detailsData as of: 10/08/2026 |
SWE-bench Verified<15 min fixTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value90.206 % | 89.691 % | Vals AISource detailsData as of: 09/01/2026 |
Tax Agent BenchControversy & Precedence AnalysisTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 3.333 % | Higher measured value6.667 % | Vals AISource detailsData as of: 10/12/2026 |
TaxEval v2CorrectnessTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value63.778 % | 62.469 % | 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 Opus 4.7: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 91.667 % | Higher measured value100 % | Vals AISource detailsData as of: 09/28/2026 |
Code MigrationCOBOLTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value70 % | 68.571 % | Vals AISource detailsData as of: 10/12/2026 |
EMBDataroomTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 80.91 % | Higher measured value86.218 % | 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 Opus 4.7: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 38.647 % | Higher measured value49.694 % | 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 Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 89.394 % | Higher measured value93.939 % | 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 Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | No direct winner0 % | No direct winner0 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchAdministrative / Regulatory · Weighted partial creditTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 87.011 % | Higher measured value87.613 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchInterpretation TasksTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 83.609 % | Higher measured value84.589 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6HardTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 66.857 % | Higher measured value78 % | 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 Opus 4.7: Snapshot: claude-opus-4-7, Harness: Arena Code Arena WebDev Gemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevClaude Opus 4.7: Arena rating from 7,474 published pairwise votes.Gemini 3.8 Flash: Arena rating from 2,015 published pairwise votes. | 1,561.554 95% confidence interval: ±8.916The 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 value1,593.067 95% confidence interval: ±13.862The 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 Vision, Style ControlChineseTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Opus 4.7: Snapshot: claude-opus-4-7, Harness: Arena Vision, style control Gemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style controlClaude Opus 4.7: Arena rating from 1,505 published pairwise votes.Gemini 3.8 Flash: Arena rating from 182 published pairwise votes. | 1,346.101 95% confidence interval: ±17.686The 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 value1,379.729 95% confidence interval: ±43.521The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/09/2026 |
MMLU-ProBusinessTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 93.283 % | Higher measured value93.79 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxSemantic ExtractionTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value61.844 % | 60.095 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchFully ResolvedTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 0 % | Higher measured value1 % | Vals AISource detailsData as of: 10/12/2026 |
SAGECalculusTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens | 75.926 % | Higher measured value79.63 % | Vals AISource detailsData as of: 10/08/2026 |
SWE-bench Verified>4 hoursTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value66.667 % | 33.333 % | Vals AISource detailsData as of: 09/01/2026 |
Tax Agent BenchControversy & Precedence AnalysisTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 57.642 % | Higher measured value59.001 % | Vals AISource detailsData as of: 10/12/2026 |
TaxEval v2Stepwise ReasoningTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value86.754 % | 86.427 % | Vals AISource detailsData as of: 09/01/2026 |
Terminal-Bench 2.1HardTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterClaude Opus 4.7: Compute: high, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 40 % | Higher measured value72.222 % | Vals AISource detailsData as of: 09/28/2026 |
Code MigrationCode QualityTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value4.588 / 5 | 3.742 / 5 | Vals AISource detailsData as of: 10/12/2026 |
EMBDCFTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 57.069 % | Higher measured value63.655 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)ComparablesTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 45.556 % | Higher measured value52.004 % | Vals AISource detailsData as of: 10/12/2026 |
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Criteria passedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 87.097 % | Higher measured value89.606 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchBusiness & Commercial · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Opus 4.7: Compute: max, Temperature: 1, Output limit: 128,000 tokens Gemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 32.558 % | Higher measured value41.86 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchIssue TasksTest detailsTest 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 88.947 % | Higher measured value91.278 % | 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: 43b8c5c46830
Unavailable in this round
Unavailable in this round
A community classic for free-form SVG drawing.
Claude Opus 4.7

Reasoning (requested): high
Visually reviewed. This individual test does not establish overall model quality.
Gemini 3.8 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.
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 3.8 Flash with other leading models using the same data and benchmark logic.