Claude Opus 4.5
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 4.5 | Claude Sonnet 4.6 |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Released | Nov 2025 | Feb 2026 |
| Availability | Active | Active |
| Model type | Proprietary | Proprietary |
| Parameters | Not published | Not published |
| Architecture | Not published | Not published |
| Context window | 200,000 tokens | 1,000,000 tokens |
| Knowledge cutoff | May 2025 | August 2025 |
| Technical sources | Model, Context | Model, Context |
Pricing
The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.
| Price type | Claude Opus 4.5 | Claude Sonnet 4.6 |
|---|---|---|
| API input | $5 | $3 |
| API output | $25 | $15 |
| Cache read | $0.5 | $0.3 |
| Cache write (5 min.) | $6.25 | $3.75 |
| Cache write (1 hr.) | $10 | $6 |
| Price verified | 09/22/2026 Source | 09/22/2026 Source |
Key to the marks:better valuebetter, but not conclusivetie
Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.
| Model | Provider | Purchase route and tariff | Input per 1M tokens | Output per 1M tokens | Source |
|---|---|---|---|---|---|
| Claude Opus 4.5 | Anthropic | Direct from developerStandard API | Lowest listed price: $5 | Lowest listed price: $25 | Source09/22/2026 |
| Amazon Bedrock | Via OpenRouteramazon-bedrock | Lowest listed price: $5 | Lowest listed price: $25 | Source10/17/2026 | |
| Amazon Bedrock | Via OpenRouteramazon-bedrock/eu-west-1 | $5.5 | $27.5 | Source10/17/2026 | |
| Anthropic | Via OpenRouteranthropic | Lowest listed price: $5 | Lowest listed price: $25 | Source10/17/2026 | |
| Azure | Via OpenRouterazure/global | Lowest listed price: $5 | Lowest listed price: $25 | Source10/17/2026 | |
| Claude Platform on AWS | Via OpenRouterclaude-on-aws | Lowest listed price: $5 | Lowest listed price: $25 | Source10/17/2026 | |
| Via OpenRoutergoogle-vertex/global | Lowest listed price: $5 | Lowest listed price: $25 | Source10/17/2026 | ||
| Claude Sonnet 4.6 | Anthropic | Direct from developerStandard API | Lowest listed price: $3 | Lowest listed price: $15 | Source09/22/2026 |
| Amazon Bedrock | Via OpenRouteramazon-bedrock/eu-west-1 | $3.3 | $16.5 | Source10/17/2026 | |
| Amazon Bedrock | Via OpenRouteramazon-bedrock/global | Lowest listed price: $3 | Lowest listed price: $15 | Source10/17/2026 | |
| Amazon Bedrock | Via OpenRouteramazon-bedrock/us | $3.3 | $16.5 | Source10/17/2026 | |
| Anthropic | Via OpenRouteranthropic | Lowest listed price: $3 | Lowest listed price: $15 | Source10/17/2026 | |
| Azure | Via OpenRouterazure/global | Lowest listed price: $3 | Lowest listed price: $15 | Source10/17/2026 | |
| Claude Platform on AWS | Via OpenRouterclaude-on-aws | Lowest listed price: $3 | Lowest listed price: $15 | Source10/17/2026 | |
| Via OpenRoutergoogle-vertex/europe | $3.3 | $16.5 | Source10/17/2026 | ||
| Via OpenRoutergoogle-vertex/global | Lowest listed price: $3 | Lowest listed price: $15 | Source10/17/2026 | ||
| Via OpenRoutergoogle-vertex/us-east5 | $3.3 | $16.5 | Source10/17/2026 |
Performance
Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.
Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.
Not enough directly matched categories for a reliable radar
Only 0 of at least 5 categories have comparable, direct model measurements. The benchmark tables below show the available evidence without filling missing axes.
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | Claude Opus 4.5 | Claude Sonnet 4.6 | Source |
|---|---|---|---|
CorpFin v2OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 61.305 % | Higher measured value65.307 % | Vals AISource detailsData as of: 08/12/2026 |
GPQA DiamondOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 79.546 % | Higher measured value85.606 % | Vals AISource detailsData as of: 09/01/2026 |
LegalBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value82.837 % | 82.12 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 75.034 % | Higher measured value82.091 % | Vals AISource detailsData as of: 09/01/2026 |
MedQAOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Temperature: 1, Output limit: 128,000 tokens | Higher measured value93.158 % | 92.058 % | Vals AISource detailsData as of: 04/16/2026 |
MMLU-ProOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 85.59 % | Higher measured value87.341 % | Vals AISource detailsData as of: 09/01/2026 |
MMMU-ProOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 81.098 % | Higher measured value83.584 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value68.68 % | 67.726 % | Vals AISource detailsData as of: 09/01/2026 |
SAGEOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 30,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 30,000 tokens | 45.002 % | Higher measured value46.582 % | Vals AISource detailsData as of: 10/08/2026 |
TaxEval v2OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 74.325 % | Higher measured value77.106 % | Vals AISource detailsData as of: 09/01/2026 |
Terminal-Bench 2.0OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 58.427 % | Higher measured value59.551 % | Vals AISource detailsData as of: 06/04/2026 |
CorpFin v2Exact PagesTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 60.839 % | Higher measured value63.17 % | Vals AISource detailsData as of: 08/12/2026 |
GPQA DiamondFew-Shot CoTTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 79.293 % | Higher measured value85.859 % | Vals AISource detailsData as of: 09/01/2026 |
LegalBenchConclusion TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 87.7 % | Higher measured value87.991 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6EasyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value99.068 % | 98.758 % | Vals AISource detailsData as of: 09/01/2026 |
MedQAAsianTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Temperature: 1, Output limit: 128,000 tokens | Higher measured value93 % | 91.6 % | Vals AISource detailsData as of: 04/16/2026 |
MMLU-ProBiologyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value94.003 % | 92.748 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxNumerical ExtractionTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value77.424 % | 74.96 % | Vals AISource detailsData as of: 09/01/2026 |
SAGEAutomataTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 30,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 30,000 tokens | 29.365 % | Higher measured value35.318 % | Vals AISource detailsData as of: 10/08/2026 |
TaxEval v2CorrectnessTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 63.123 % | Higher measured value65.822 % | Vals AISource detailsData as of: 09/01/2026 |
Terminal-Bench 2.0EasyTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value100 % | 75 % | Vals AISource detailsData as of: 06/04/2026 |
CorpFin v2Max Fitting ContextTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 60.723 % | Higher measured value66.084 % | Vals AISource detailsData as of: 08/12/2026 |
GPQA DiamondZero-Shot CoTTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 79.798 % | Higher measured value85.354 % | Vals AISource detailsData as of: 09/01/2026 |
LegalBenchInterpretation TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 82.235 % | Higher measured value82.469 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6HardTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 44.571 % | Higher measured value60.571 % | Vals AISource detailsData as of: 09/01/2026 |
MedQABlackTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Temperature: 1, Output limit: 128,000 tokens | 92.7 % | Higher measured value92.75 % | Vals AISource detailsData as of: 04/16/2026 |
MMLU-ProBusinessTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 80.862 % | Higher measured value91.888 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxSemantic ExtractionTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 59.936 % | Higher measured value60.493 % | Vals AISource detailsData as of: 09/01/2026 |
SAGECalculusTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Temperature: 1, Output limit: 30,000 tokens Claude Sonnet 4.6: Temperature: 1, Output limit: 30,000 tokens | 58.333 % | Higher measured value60.494 % | Vals AISource detailsData as of: 10/08/2026 |
TaxEval v2Stepwise ReasoningTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 85.527 % | Higher measured value88.389 % | Vals AISource detailsData as of: 09/01/2026 |
Terminal-Bench 2.0HardTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 33.333 % | Higher measured value40 % | Vals AISource detailsData as of: 06/04/2026 |
CorpFin v2Shared Max ContextTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 62.354 % | Higher measured value66.667 % | Vals AISource detailsData as of: 08/12/2026 |
LegalBenchIssue TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 84.152 % | Higher measured value86.574 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6MediumTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 81.462 % | Higher measured value86.945 % | Vals AISource detailsData as of: 09/01/2026 |
MedQAHispanicTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Temperature: 1, Output limit: 128,000 tokens | Higher measured value92.95 % | 91.9 % | Vals AISource detailsData as of: 04/16/2026 |
MMLU-ProChemistryTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 89.488 % | Higher measured value91.873 % | Vals AISource detailsData as of: 09/01/2026 |
SAGELinear AlgebraTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 30,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 30,000 tokens | Higher measured value64.372 % | 63.158 % | Vals AISource detailsData as of: 10/08/2026 |
Terminal-Bench 2.0MediumTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | No direct winner69.091 % | No direct winner69.091 % | Vals AISource detailsData as of: 06/04/2026 |
LegalBenchRhetoric TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value79.777 % | 79.469 % | Vals AISource detailsData as of: 10/13/2026 |
MedQAIndigenousTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Temperature: 1, Output limit: 128,000 tokens | Higher measured value92.85 % | 91.9 % | Vals AISource detailsData as of: 04/16/2026 |
MMLU-ProComputer ScienceTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 84.146 % | Higher measured value90 % | Vals AISource detailsData as of: 09/01/2026 |
SAGEPartial Differential EquationsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 30,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 30,000 tokens | No direct winner41.27 % | No direct winner41.27 % | Vals AISource detailsData as of: 10/08/2026 |
LegalBenchRule TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value80.32 % | 74.097 % | Vals AISource detailsData as of: 10/13/2026 |
MedQAUnbiasedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Temperature: 1, Output limit: 128,000 tokens | Higher measured value94.3 % | 92.2 % | Vals AISource detailsData as of: 04/16/2026 |
MMLU-ProEconomicsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 89.573 % | Higher measured value90.64 % | Vals AISource detailsData as of: 09/01/2026 |
MedQAWhiteTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Temperature: 1, Output limit: 128,000 tokens | Higher measured value93.15 % | 92 % | Vals AISource detailsData as of: 04/16/2026 |
MMLU-ProEngineeringTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 76.161 % | Higher measured value85.243 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProHealthTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value83.985 % | 82.396 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProHistoryTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 78.478 % | Higher measured value81.102 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProLawTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value78.292 % | 73.569 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProMathTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 92.302 % | Higher measured value94.078 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProOthersTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value84.632 % | 83.117 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProPhilosophyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value87.776 % | 86.172 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProPhysicsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | 89.838 % | Higher measured value92.61 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProPsychologyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens Claude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Higher measured value88.722 % | 87.343 % | Vals AISource detailsData as of: 09/01/2026 |
Key to the marks:better valuebetter, but not conclusivetie | |||
Our model tests
One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.
Shared test round: 4ae5d8eeb9a9
Unavailable in this round

A community classic for free-form SVG drawing.
Claude Opus 4.5

Reasoning (requested): high
Visually reviewed. This individual test does not establish overall model quality.
Claude Sonnet 4.6
The response reached the token limit. No complete recording is available.
Reasoning (requested): high
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)How to read this comparison
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Compare Claude Opus 4.5 and Claude Sonnet 4.6 with other leading models using the same data and benchmark logic.