Claude Opus 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 5 | GPT-6 Astra |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Released | Jul 24, 2026 | Sep 3, 2026 |
| Availability | Active | Limited access |
| Model type | Proprietary | Proprietary |
| Parameters | Not published | Not published |
| Architecture | Not published | Not published |
| Context window | 1,000,000 tokens | 1,050,000 tokens |
| Knowledge cutoff | May 2026 | April 30, 2026 |
| Technical sources | Model, Knowledge cutoff | 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 5 | GPT-6 Astra |
|---|---|---|
| API input | $5 | $10 ≤272K / $20 >272K |
| API output | $25 | $50 ≤272K / $75 >272K |
| Cache read | $0.5 | $1 ≤272K / $2 >272K |
| Cache write (5 min.) | $6.25 | $12.5 ≤272K / $25 >272K |
| 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 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 | Source10/19/2026 | |
| Amazon Bedrock | Via OpenRouteramazon-bedrock/eu-west-1 | $5.5 | $27.5 | Source10/19/2026 | |
| Amazon Bedrock | Via OpenRouteramazon-bedrock/us-east-1 | $5.5 | $27.5 | Source10/19/2026 | |
| Anthropic | Via OpenRouteranthropic | Lowest listed price: $5 | Lowest listed price: $25 | Source10/19/2026 | |
| Anthropic | Via OpenRouteranthropic/fast | $10 | $50 | Source10/19/2026 | |
| Azure | Via OpenRouterazure/global | Lowest listed price: $5 | Lowest listed price: $25 | Source10/19/2026 | |
| Azure | Via OpenRouterazure/us | $5.5 | $27.5 | Source10/19/2026 | |
| Claude Platform on AWS | Via OpenRouterclaude-on-aws | Lowest listed price: $5 | Lowest listed price: $25 | Source10/19/2026 | |
| Via OpenRoutergoogle-vertex/europe | $5.5 | $27.5 | Source10/19/2026 | ||
| Via OpenRoutergoogle-vertex/global | Lowest listed price: $5 | Lowest listed price: $25 | Source10/19/2026 | ||
| Via OpenRoutergoogle-vertex/us | $5.5 | $27.5 | Source10/19/2026 | ||
| GPT-6 Astra | OpenAI | Direct from developerUp to 272,000 context tokens | $10 | $50 | Source09/22/2026 |
| OpenAI | Direct from developerAbove 272,000 context tokens | $20 | $75 | Source09/22/2026 | |
| Amazon Bedrock | Via OpenRouteramazon-bedrock/us-west-2 | $11 | $55 | Source10/19/2026 | |
| Azure | Via OpenRouterazure | $10 | $50 | Source10/19/2026 | |
| Azure | Via OpenRouterazure/us | $11 | $55 | Source10/19/2026 | |
| OpenAI | Via OpenRouteropenai | $10 | $50 | Source10/19/2026 | |
| OpenAI | Via OpenRouteropenai/fast | $20 | $100 | Source10/19/2026 | |
| OpenAI | Via OpenRouteropenai/flex | Lowest listed price: $5 | Lowest listed price: $25 | Source10/19/2026 | |
| OpenAI | Via OpenRouteropenai/ultrafast | $60 | $300 | Source10/19/2026 |
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.
96 matched rows from 14 benchmark families were considered. The radar shows 8 of 11 comparable categories.
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | Claude Opus 5 | GPT-6 Astra | Source |
|---|---|---|---|
AA-AnalystAgentOverallTest detailsNo documented difference in the test setupVersion: AA cohort: 80 questionsMetric: pass^5 reliabilityScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Max), Reasoning: Max, Agent: Stirrup analyst agent, Harness: Artificial Analysis Stirrup, Attempts: pass^5, 5 independent attempts per question GPT-6 Astra: Snapshot: GPT-6 Astra (Max), Reasoning: Max, Agent: Stirrup analyst agent, Harness: Artificial Analysis Stirrup, Attempts: pass^5, 5 independent attempts per questionClaude Opus 5: Exact AA configuration: Claude Opus 5 (Max) (release claude-opus-5, row claude-opus-5, UUID b8fc61f7-5e9a-49e6-8547-6ac56db24627, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption. 80 quantitative questions across 14 domains are run five independent times. pass^5 counts only questions answered correctly in all five attempts.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Max) (release gpt-6-astra, row gpt-6-astra, UUID 2f339a97-9a0d-499a-9cb5-e0db665bfa25, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption. 80 quantitative questions across 14 domains are run five independent times. pass^5 counts only questions answered correctly in all five attempts. | Winner53.8% Questions, source files, and reference answers are private. pass^5 measures reliability across all five attempts, not pass@1. | 51.2% Questions, source files, and reference answers are private. pass^5 measures reliability across all five attempts, not pass@1. | Artificial AnalysisSource detailsData as of: 10/19/2026 |
AA-BriefcaseOverallTest detailsNo documented difference in the test setupVersion: v1.1Metric: AA-Briefcase EloScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Xhigh), Reasoning: Xhigh GPT-6 Astra: Snapshot: GPT-6 Astra (Xhigh), Reasoning: XhighClaude Opus 5: Exact AA configuration: Claude Opus 5 (Xhigh) (release claude-opus-5, row claude-opus-5-xhigh, UUID 1305c921-7aaa-4d6d-99b5-99b3acf15e19, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Xhigh) (release gpt-6-astra, row gpt-6-astra-xhigh, UUID 1f541ef3-913f-4eb2-9d07-0e93c7a9a5e3, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption. | Winner1,633.85 elo | 1,546.7 elo | Artificial AnalysisSource detailsData as of: 10/19/2026 |
AA-LCROverallTest detailsNo documented difference in the test setupVersion: v1.1Metric: Pass rateScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Xhigh), Reasoning: Xhigh GPT-6 Astra: Snapshot: GPT-6 Astra (Xhigh), Reasoning: XhighClaude Opus 5: Exact AA configuration: Claude Opus 5 (Xhigh) (release claude-opus-5, row claude-opus-5-xhigh, UUID 1305c921-7aaa-4d6d-99b5-99b3acf15e19, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Xhigh) (release gpt-6-astra, row gpt-6-astra-xhigh, UUID 1f541ef3-913f-4eb2-9d07-0e93c7a9a5e3, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption. | Winner80.3% | 80.0% | Artificial AnalysisSource detailsData as of: 10/19/2026 |
AA-OmniscienceOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: AA-Omniscience IndexScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Xhigh), Reasoning: Xhigh GPT-6 Astra: Snapshot: GPT-6 Astra (Xhigh), Reasoning: XhighClaude Opus 5: Exact AA configuration: Claude Opus 5 (Xhigh) (release claude-opus-5, row claude-opus-5-xhigh, UUID 1305c921-7aaa-4d6d-99b5-99b3acf15e19, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Xhigh) (release gpt-6-astra, row gpt-6-astra-xhigh, UUID 1f541ef3-913f-4eb2-9d07-0e93c7a9a5e3, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption. | 35.383 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis. | Winner43.417 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis. | Artificial AnalysisSource detailsData as of: 10/19/2026 |
AA-Omniscience AccuracyOverallTest detailsNo documented difference in the test setupVersion: AA Omniscience diagnosticMetric: AA-Omniscience AccuracyScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Xhigh), Reasoning: Xhigh, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard GPT-6 Astra: Snapshot: GPT-6 Astra (Xhigh), Reasoning: Xhigh, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboardClaude Opus 5: Exact AA configuration: Claude Opus 5 (Xhigh) (release claude-opus-5, row claude-opus-5-xhigh, UUID 1305c921-7aaa-4d6d-99b5-99b3acf15e19, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Xhigh) (release gpt-6-astra, row gpt-6-astra-xhigh, UUID 1f541ef3-913f-4eb2-9d07-0e93c7a9a5e3, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions. | 59.5% This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better. | Winner61.9% This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better. | Artificial AnalysisSource detailsData as of: 10/19/2026 |
AA-Omniscience Hallucination RateOverallTest detailsNo documented difference in the test setupVersion: AA Omniscience diagnosticMetric: AA-Omniscience Hallucination RateScoring: Lower is betterClaude Opus 5: Snapshot: Claude Opus 5 (Xhigh), Reasoning: Xhigh, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard GPT-6 Astra: Snapshot: GPT-6 Astra (Xhigh), Reasoning: Xhigh, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboardClaude Opus 5: Exact AA configuration: Claude Opus 5 (Xhigh) (release claude-opus-5, row claude-opus-5-xhigh, UUID 1305c921-7aaa-4d6d-99b5-99b3acf15e19, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Xhigh) (release gpt-6-astra, row gpt-6-astra-xhigh, UUID 1f541ef3-913f-4eb2-9d07-0e93c7a9a5e3, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted). | 59.5% This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better. | Winner48.3% This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better. | Artificial AnalysisSource detailsData as of: 10/19/2026 |
Artificial Analysis Intelligence IndexOverallTest detailsNo documented difference in the test setupVersion: v4.3.2Metric: Artificial Analysis Intelligence IndexScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Xhigh), Reasoning: Xhigh GPT-6 Astra: Snapshot: GPT-6 Astra (Xhigh), Reasoning: XhighClaude Opus 5: Exact AA configuration: Claude Opus 5 (Xhigh) (release claude-opus-5, row claude-opus-5-xhigh, UUID 1305c921-7aaa-4d6d-99b5-99b3acf15e19, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Xhigh) (release gpt-6-astra, row gpt-6-astra-xhigh, UUID 1f541ef3-913f-4eb2-9d07-0e93c7a9a5e3, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption. | 49.677 points | Winner52.386 points | Artificial AnalysisSource detailsData as of: 10/19/2026 |
AutomationBench-AAOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: Objectives completed without guardrail violationsScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Xhigh), Reasoning: Xhigh GPT-6 Astra: Snapshot: GPT-6 Astra (Xhigh), Reasoning: XhighClaude Opus 5: Exact AA configuration: Claude Opus 5 (Xhigh) (release claude-opus-5, row claude-opus-5-xhigh, UUID 1305c921-7aaa-4d6d-99b5-99b3acf15e19, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Xhigh) (release gpt-6-astra, row gpt-6-astra-xhigh, UUID 1f541ef3-913f-4eb2-9d07-0e93c7a9a5e3, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption. | 53.2% | Winner67.2% | Artificial AnalysisSource detailsData as of: 10/19/2026 |
BioMysteryBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Harness: Terminus 2, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Harness: Terminus 2, Output limit: 128,000 tokens | No direct winner79.259 % | No direct winner79.259 % | Vals AISource detailsData as of: 10/12/2026 |
Code MigrationOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | 57.473 % | Higher measured value67.74 % | Vals AISource detailsData as of: 10/12/2026 |
CyberBench v1.1OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | Higher measured value65.357 % | 41.072 % | Vals AISource detailsData as of: 10/12/2026 |
EMBOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | Higher measured value73.556 % | 71.7 % | 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 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | Higher measured value58.633 % | 53.54 % | Vals AISource detailsData as of: 10/12/2026 |
GDP.pdfOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: All-pass rateScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Xhigh), Reasoning: Xhigh GPT-6 Astra: Snapshot: GPT-6 Astra (Xhigh), Reasoning: XhighClaude Opus 5: Exact AA configuration: Claude Opus 5 (Xhigh) (release claude-opus-5, row claude-opus-5-xhigh, UUID 1305c921-7aaa-4d6d-99b5-99b3acf15e19, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Xhigh) (release gpt-6-astra, row gpt-6-astra-xhigh, UUID 1f541ef3-913f-4eb2-9d07-0e93c7a9a5e3, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption. | 21.0% | Winner32.2% | Artificial AnalysisSource detailsData as of: 10/19/2026 |
GDPval-AAOverallTest detailsNo documented difference in the test setupVersion: v2.1Metric: GDPval-AA EloScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Xhigh), Reasoning: Xhigh GPT-6 Astra: Snapshot: GPT-6 Astra (Xhigh), Reasoning: XhighClaude Opus 5: Exact AA configuration: Claude Opus 5 (Xhigh) (release claude-opus-5, row claude-opus-5-xhigh, UUID 1305c921-7aaa-4d6d-99b5-99b3acf15e19, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Xhigh) (release gpt-6-astra, row gpt-6-astra-xhigh, UUID 1f541ef3-913f-4eb2-9d07-0e93c7a9a5e3, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption. | Winner1,690.67 elo | 1,555.91 elo | Artificial AnalysisSource detailsData as of: 10/19/2026 |
Harvey's Legal Agent BenchmarkOverall · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | Higher measured value6.667 % | 5.417 % | Vals AISource detailsData as of: 10/12/2026 |
Humanity's Last ExamOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: Text-only pass@1 accuracyScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Xhigh), Reasoning: Xhigh GPT-6 Astra: Snapshot: GPT-6 Astra (Xhigh), Reasoning: XhighClaude Opus 5: Exact AA configuration: Claude Opus 5 (Xhigh) (release claude-opus-5, row claude-opus-5-xhigh, UUID 1305c921-7aaa-4d6d-99b5-99b3acf15e19, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Xhigh) (release gpt-6-astra, row gpt-6-astra-xhigh, UUID 1f541ef3-913f-4eb2-9d07-0e93c7a9a5e3, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption. | 54.4% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset. | Winner54.6% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset. | Artificial AnalysisSource detailsData as of: 10/19/2026 |
IOIOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | 84.333 % | Higher measured value100 % | Vals AISource detailsData as of: 10/14/2026 |
Legal Research BenchOverall · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | Higher measured value55.288 % | 39.423 % | Vals AISource detailsData as of: 10/12/2026 |
LMArena Code Arena WebDevOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterClaude Opus 5: Snapshot: claude-opus-5-high, Reasoning: high, Harness: Arena Code Arena WebDev GPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Code Arena WebDevClaude Opus 5: Arena rating from 23,519 published pairwise votes.GPT-6 Astra: Arena rating from 5,746 published pairwise votes. | 1,657.837 95% confidence interval: ±5.533The 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 value1,780.244 95% confidence interval: ±10.541The 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 SearchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: searchMetric: Search Arena Bradley-Terry ratingScoring: Higher is betterClaude Opus 5: Snapshot: claude-opus-5-high, Reasoning: high, Harness: Arena Search GPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena SearchClaude Opus 5: Arena rating from 13,285 published pairwise votes.GPT-6 Astra: Arena rating from 18,483 published pairwise votes. | Higher measured value1,241.568 95% confidence interval: ±6.871The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,233.616 95% confidence interval: ±7.842The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
LMArena Text, Style ControlOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Opus 5: Snapshot: claude-opus-5-high, Reasoning: high, Harness: Arena Text, style control GPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Text, style controlClaude Opus 5: Arena rating from 65,663 published pairwise votes.GPT-6 Astra: Arena rating from 11,674 published pairwise votes. | Higher measured value1,489.847 95% confidence interval: ±3.689The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,476.716 95% confidence interval: ±6.385The 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 5: Snapshot: claude-opus-5-high, Reasoning: high, Harness: Arena Vision, style control GPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Vision, style controlClaude Opus 5: Arena rating from 16,665 published pairwise votes.GPT-6 Astra: Arena rating from 3,590 published pairwise votes. | Higher measured value1,287.417 95% confidence interval: ±6.783The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,285.988 95% confidence interval: ±10.782The 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 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | Higher measured value63.57 % | 48.486 % | Vals AISource detailsData as of: 10/13/2026 |
MedScribeOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | Higher measured value90.985 % | 87.908 % | Vals AISource detailsData as of: 10/13/2026 |
MMMU-ProOverallTest detailsNo documented difference in the test setupVersion: AA cohort: 1,730 questionsMetric: pass@1 accuracyScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Xhigh), Reasoning: Xhigh, Attempts: pass@1, one run per question GPT-6 Astra: Snapshot: GPT-6 Astra (Xhigh), Reasoning: Xhigh, Attempts: pass@1, one run per questionClaude Opus 5: Exact AA configuration: Claude Opus 5 (Xhigh) (release claude-opus-5, row claude-opus-5-xhigh, UUID 1305c921-7aaa-4d6d-99b5-99b3acf15e19, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Xhigh) (release gpt-6-astra, row gpt-6-astra-xhigh, UUID 1f541ef3-913f-4eb2-9d07-0e93c7a9a5e3, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1. | 84.0% The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run. | Winner86.2% The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run. | Artificial AnalysisSource detailsData as of: 10/19/2026 |
MysteryMechanismOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | 37.387 % | Higher measured value53.153 % | Vals AISource detailsData as of: 10/12/2026 |
ProgramBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | 3 % | Higher measured value5.5 % | Vals AISource detailsData as of: 10/12/2026 |
ProofBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | No direct winner99 % | No direct winner99 % | Vals AISource detailsData as of: 10/12/2026 |
SAGEOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 30,000 tokens | Higher measured value49.426 % | 46.367 % | Vals AISource detailsData as of: 10/08/2026 |
SRE BenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: fully solved rateScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | 12.214 % | Higher measured value56.87 % | Vals AISource detailsData as of: 10/14/2026 |
Tax Agent BenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | Higher measured value45.548 % | 20.717 % | Vals AISource detailsData as of: 10/12/2026 |
Terminal-BenchOverallTest detailsNo documented difference in the test setupVersion: 4.0Metric: Task successScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Xhigh), Reasoning: Xhigh GPT-6 Astra: Snapshot: GPT-6 Astra (Xhigh), Reasoning: XhighClaude Opus 5: Exact AA configuration: Claude Opus 5 (Xhigh) (release claude-opus-5, row claude-opus-5-xhigh, UUID 1305c921-7aaa-4d6d-99b5-99b3acf15e19, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Xhigh) (release gpt-6-astra, row gpt-6-astra-xhigh, UUID 1f541ef3-913f-4eb2-9d07-0e93c7a9a5e3, reasoning=true, source reasoning-token configuration budget=0, suffix=Xhigh). This configured value is not measured token consumption. | 46.5% | Winner59.6% | Artificial AnalysisSource detailsData as of: 10/19/2026 |
Terminal-Bench 2.1OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: high, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | 84.644 % | Higher measured value87.266 % | Vals AISource detailsData as of: 09/28/2026 |
Terminal-Bench 4.0OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | 53.535 % | Higher measured value59.596 % | Vals AISource detailsData as of: 10/13/2026 |
Terminal-Bench ScienceOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Harness: Mini-SWE-agent, Output limit: 128,000 tokens | 27.143 % | Higher measured value62.857 % | Vals AISource detailsData as of: 10/14/2026 |
Terminal-Bench-ScienceOverallTest detailsNo documented difference in the test setupVersion: 0.1.0Metric: pass@1 task success rateScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Max), Reasoning: Max, Agent: mini-swe-agent, Harness: mini-swe-agent, Attempts: pass@1, averaged over 3 repeats per task GPT-6 Astra: Snapshot: GPT-6 Astra (Max), Reasoning: Max, Agent: mini-swe-agent, Harness: mini-swe-agent, Attempts: pass@1, averaged over 3 repeats per taskClaude Opus 5: Exact AA configuration: Claude Opus 5 (Max) (release claude-opus-5, row claude-opus-5, UUID b8fc61f7-5e9a-49e6-8547-6ac56db24627, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption. The full 0.1.0 release has 70 tasks across five scientific domains. A task passes only when its entire test suite passes. AA averages pass@1 over three repeats.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Max) (release gpt-6-astra, row gpt-6-astra, UUID 2f339a97-9a0d-499a-9cb5-e0db665bfa25, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption. The full 0.1.0 release has 70 tasks across five scientific domains. A task passes only when its entire test suite passes. AA averages pass@1 over three repeats. | 28.6% | Winner63.3% | Artificial AnalysisSource detailsData as of: 10/19/2026 |
Time Horizon Index: KSPOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: progressScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | 18.833 % | Higher measured value90.5 % | Vals AISource detailsData as of: 10/07/2026 |
Vals IndexOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: weighted index scoreScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | Higher measured value63.674 % | 63.125 % | Vals AISource detailsData as of: 10/13/2026 |
Vibe Code Bench 1-100OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.0Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Harness: OpenHands, Output limit: 128,000 tokens | Higher measured value28.533 % | 27.644 % | Vals AISource detailsData as of: 10/14/2026 |
Vibe Code Bench v1.1OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Opus 5: Harness: OpenHands GPT-6 Astra: Reasoning: max, Harness: OpenHands, Output limit: 128,000 tokens | 88.404 % | Higher measured value89.594 % | Vals AISource detailsData as of: 10/12/2026 |
AA-BriefcaseOverallTest detailsNo documented difference in the test setupVersion: v1.1Metric: AA-Briefcase EloScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Opus 5: Exact AA configuration: Claude Opus 5 (Low) (release claude-opus-5, row claude-opus-5-low, UUID 20928ba9-3a3f-415f-9519-b84ff64ecf34, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Low) (release gpt-6-astra, row gpt-6-astra-low, UUID a3f8100d-e38f-408b-b0fa-0085dae18dc1, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption. | 1,209.28 elo | Winner1,257.01 elo | Artificial AnalysisSource detailsData as of: 10/19/2026 |
AA-LCROverallTest detailsNo documented difference in the test setupVersion: v1.1Metric: Pass rateScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Opus 5: Exact AA configuration: Claude Opus 5 (Low) (release claude-opus-5, row claude-opus-5-low, UUID 20928ba9-3a3f-415f-9519-b84ff64ecf34, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Low) (release gpt-6-astra, row gpt-6-astra-low, UUID a3f8100d-e38f-408b-b0fa-0085dae18dc1, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption. | Winner81.3% | 80.0% | Artificial AnalysisSource detailsData as of: 10/19/2026 |
AA-OmniscienceOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: AA-Omniscience IndexScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Opus 5: Exact AA configuration: Claude Opus 5 (Low) (release claude-opus-5, row claude-opus-5-low, UUID 20928ba9-3a3f-415f-9519-b84ff64ecf34, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Low) (release gpt-6-astra, row gpt-6-astra-low, UUID a3f8100d-e38f-408b-b0fa-0085dae18dc1, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption. | 28.55 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis. | Winner40.55 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis. | Artificial AnalysisSource detailsData as of: 10/19/2026 |
AA-Omniscience AccuracyOverallTest detailsNo documented difference in the test setupVersion: AA Omniscience diagnosticMetric: AA-Omniscience AccuracyScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Low), Reasoning: Low, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: Low, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboardClaude Opus 5: Exact AA configuration: Claude Opus 5 (Low) (release claude-opus-5, row claude-opus-5-low, UUID 20928ba9-3a3f-415f-9519-b84ff64ecf34, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Low) (release gpt-6-astra, row gpt-6-astra-low, UUID a3f8100d-e38f-408b-b0fa-0085dae18dc1, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions. | 56.0% This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better. | Winner59.5% This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better. | Artificial AnalysisSource detailsData as of: 10/19/2026 |
AA-Omniscience Hallucination RateOverallTest detailsNo documented difference in the test setupVersion: AA Omniscience diagnosticMetric: AA-Omniscience Hallucination RateScoring: Lower is betterClaude Opus 5: Snapshot: Claude Opus 5 (Low), Reasoning: Low, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: Low, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboardClaude Opus 5: Exact AA configuration: Claude Opus 5 (Low) (release claude-opus-5, row claude-opus-5-low, UUID 20928ba9-3a3f-415f-9519-b84ff64ecf34, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Low) (release gpt-6-astra, row gpt-6-astra-low, UUID a3f8100d-e38f-408b-b0fa-0085dae18dc1, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted). | 62.2% This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better. | Winner46.9% This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better. | Artificial AnalysisSource detailsData as of: 10/19/2026 |
Artificial Analysis Intelligence IndexOverallTest detailsNo documented difference in the test setupVersion: v4.3.2Metric: Artificial Analysis Intelligence IndexScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Opus 5: Exact AA configuration: Claude Opus 5 (Low) (release claude-opus-5, row claude-opus-5-low, UUID 20928ba9-3a3f-415f-9519-b84ff64ecf34, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Low) (release gpt-6-astra, row gpt-6-astra-low, UUID a3f8100d-e38f-408b-b0fa-0085dae18dc1, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption. | 39.354 points | Winner45.782 points | Artificial AnalysisSource detailsData as of: 10/19/2026 |
AutomationBench-AAOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: Objectives completed without guardrail violationsScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Opus 5: Exact AA configuration: Claude Opus 5 (Low) (release claude-opus-5, row claude-opus-5-low, UUID 20928ba9-3a3f-415f-9519-b84ff64ecf34, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Low) (release gpt-6-astra, row gpt-6-astra-low, UUID a3f8100d-e38f-408b-b0fa-0085dae18dc1, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption. | 51.8% | Winner59.1% | Artificial AnalysisSource detailsData as of: 10/19/2026 |
BioMysteryBenchHardTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Harness: Terminus 2, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Harness: Terminus 2, Output limit: 128,000 tokens | Higher measured value43.137 % | 37.255 % | Vals AISource detailsData as of: 10/12/2026 |
Code MigrationCLITest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | 53.297 % | Higher measured value67.463 % | Vals AISource detailsData as of: 10/12/2026 |
CyberBench v1.1PatchTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | Higher measured value85.714 % | 82.143 % | Vals AISource detailsData as of: 10/12/2026 |
EMBCompsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | 75.171 % | Higher measured value77.953 % | 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 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | Higher measured value54.617 % | 48.318 % | Vals AISource detailsData as of: 10/12/2026 |
GDP.pdfOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: All-pass rateScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Opus 5: Exact AA configuration: Claude Opus 5 (Low) (release claude-opus-5, row claude-opus-5-low, UUID 20928ba9-3a3f-415f-9519-b84ff64ecf34, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Low) (release gpt-6-astra, row gpt-6-astra-low, UUID a3f8100d-e38f-408b-b0fa-0085dae18dc1, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption. | 17.2% | Winner30.4% | Artificial AnalysisSource detailsData as of: 10/19/2026 |
GDPval-AAOverallTest detailsNo documented difference in the test setupVersion: v2.1Metric: GDPval-AA EloScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Opus 5: Exact AA configuration: Claude Opus 5 (Low) (release claude-opus-5, row claude-opus-5-low, UUID 20928ba9-3a3f-415f-9519-b84ff64ecf34, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Low) (release gpt-6-astra, row gpt-6-astra-low, UUID a3f8100d-e38f-408b-b0fa-0085dae18dc1, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption. | 1,302.46 elo | Winner1,389.25 elo | Artificial AnalysisSource detailsData as of: 10/19/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | 87.319 % | Higher measured value88.768 % | Vals AISource detailsData as of: 10/12/2026 |
Humanity's Last ExamOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: Text-only pass@1 accuracyScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Opus 5: Exact AA configuration: Claude Opus 5 (Low) (release claude-opus-5, row claude-opus-5-low, UUID 20928ba9-3a3f-415f-9519-b84ff64ecf34, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Low) (release gpt-6-astra, row gpt-6-astra-low, UUID a3f8100d-e38f-408b-b0fa-0085dae18dc1, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption. | 43.4% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset. | Winner49.2% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset. | Artificial AnalysisSource detailsData as of: 10/19/2026 |
IOIIOI 2024Test detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | No direct winner100 % | No direct winner100 % | Vals AISource detailsData as of: 10/14/2026 |
Legal Research BenchAdministrative / Regulatory · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | Higher measured value65.152 % | 53.03 % | Vals AISource detailsData as of: 10/12/2026 |
LMArena Code Arena WebDevOverallTest detailsNo documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterClaude Opus 5: Snapshot: claude-opus-5-max, Reasoning: max, Harness: Arena Code Arena WebDev GPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Code Arena WebDevClaude Opus 5: Arena rating from 17,934 published pairwise votes.GPT-6 Astra: Arena rating from 5,746 published pairwise votes. | 1,689.967 95% confidence interval: ±6.28The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | Winner1,780.244 95% confidence interval: ±10.541The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
LMArena Text, Style ControlOverallTest detailsNo documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Opus 5: Snapshot: claude-opus-5-max, Reasoning: max, Harness: Arena Text, style control GPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Text, style controlClaude Opus 5: Arena rating from 31,907 published pairwise votes.GPT-6 Astra: Arena rating from 11,674 published pairwise votes. | Winner1,489.524 95% confidence interval: ±4.846The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,476.716 95% confidence interval: ±6.385The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
LMArena Vision, Style ControlChineseTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Opus 5: Snapshot: claude-opus-5-high, Reasoning: high, Harness: Arena Vision, style control GPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Vision, style controlClaude Opus 5: Arena rating from 985 published pairwise votes.GPT-6 Astra: Arena rating from 230 published pairwise votes. | Higher measured value1,366.609 95% confidence interval: ±20.761The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,357.126 95% confidence interval: ±39.572The 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 |
MMMU-ProOverallTest detailsNo documented difference in the test setupVersion: AA cohort: 1,730 questionsMetric: pass@1 accuracyScoring: Higher is betterClaude Opus 5: Snapshot: Claude Opus 5 (Low), Reasoning: Low, Attempts: pass@1, one run per question GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: Low, Attempts: pass@1, one run per questionClaude Opus 5: Exact AA configuration: Claude Opus 5 (Low) (release claude-opus-5, row claude-opus-5-low, UUID 20928ba9-3a3f-415f-9519-b84ff64ecf34, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.GPT-6 Astra: Exact AA configuration: GPT-6 Astra (Low) (release gpt-6-astra, row gpt-6-astra-low, UUID a3f8100d-e38f-408b-b0fa-0085dae18dc1, reasoning=true, source reasoning-token configuration budget=0, suffix=Low). This configured value is not measured token consumption. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1. | 79.8% The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run. | Winner84.6% The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run. | Artificial AnalysisSource detailsData as of: 10/19/2026 |
ProgramBenchAlmost ResolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: almost-resolved rateScoring: Higher is betterClaude Opus 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens | 41.5 % | Higher measured value50 % | Vals AISource detailsData as of: 10/12/2026 |
Key to the marks:better valuebetter, but not conclusivetie | |||
Our model tests
One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.
Shared test round: 4ae5d8eeb9a9
Unavailable in this round
Unavailable in this round
A community classic for free-form SVG drawing.
Claude Opus 5

Reasoning (requested): high
Visually reviewed. This individual test does not establish overall model quality.
GPT-6 Astra

Reasoning (requested): high
Visually reviewed. This individual test does not establish overall model quality.
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.
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Compare Claude Opus 5 and GPT-6 Astra with other leading models using the same data and benchmark logic.