Head-to-head comparison

Claude Sonnet 5 vs. GPT-6 Astra

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

shared result series: 255
distinct benchmark metrics: 36
latest retrieval: 2026-10-19

First modelSecond model

Specifications

General specifications

Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.

Specifications for Claude Sonnet 5 and GPT-6 Astra
Attribute	Claude Sonnet 5	GPT-6 Astra
Provider	Anthropic	OpenAI
Released	Jun 30, 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	January 2026	April 30, 2026
Technical sources	Model, Context	Model, Context

Pricing

API pricing compared

The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.

API pricing for Claude Sonnet 5 and GPT-6 Astra
Price type	Claude Sonnet 5	GPT-6 Astra
API input	$2	$10 ≤272K / $20 >272K
API output	$10	$50 ≤272K / $75 >272K
Cache read	$0.2	$1 ≤272K / $2 >272K
Cache write (5 min.)	$2.5	$12.5 ≤272K / $25 >272K
Cache write (1 hr.)	$4	Not listed
Price verified	09/22/2026 Source	09/22/2026 Source

Claude Sonnet 5GPT-6 Astra

API inputUSD per 1M tokens, base tier

Claude Sonnet 5$2

GPT-6 Astra$10

API outputUSD per 1M tokens, base tier

Claude Sonnet 5$10

GPT-6 Astra$50

Cache readUSD per 1M tokens, base tier

Claude Sonnet 5$0.2

GPT-6 Astra$1

Key to the marks:better valuebetter, but not conclusivetie

Pricing by provider

Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.

Provider pricing for Claude Sonnet 5 and GPT-6 Astra
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Claude Sonnet 5	Anthropic	Direct from developerStandard API	Lowest listed price: $2	Lowest listed price: $10	Source09/22/2026
	Amazon Bedrock	Via OpenRouteramazon-bedrock/eu-west-1	$2.2	$11	Source10/19/2026
	Amazon Bedrock	Via OpenRouteramazon-bedrock/global	Lowest listed price: $2	Lowest listed price: $10	Source10/19/2026
	Amazon Bedrock	Via OpenRouteramazon-bedrock/us-east-1	$2.2	$11	Source10/19/2026
	Anthropic	Via OpenRouteranthropic	Lowest listed price: $2	Lowest listed price: $10	Source10/19/2026
	Azure	Via OpenRouterazure/global	Lowest listed price: $2	Lowest listed price: $10	Source10/19/2026
	Azure	Via OpenRouterazure/us	$2.2	$11	Source10/19/2026
	Claude Platform on AWS	Via OpenRouterclaude-on-aws	Lowest listed price: $2	Lowest listed price: $10	Source10/19/2026
	Google	Via OpenRoutergoogle-vertex/europe	$2.2	$11	Source10/19/2026
	Google	Via OpenRoutergoogle-vertex/global	Lowest listed price: $2	Lowest listed price: $10	Source10/19/2026
	Google	Via OpenRoutergoogle-vertex/us	$2.2	$11	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

Shared benchmarks

Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.

Capability profile from matched benchmarks

Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.

Claude Sonnet 5

GPT-6 Astra

Coding: 11 / 100 (1 benchmark family)

Reasoning: 64.3 / 99.9 (3 benchmark families)

Knowledge: 49.3 / 98.4 (1 benchmark family)

Agentic tasks: 74.6 / 100 (4 benchmark families)

Multimodal: 89 / 100 (1 benchmark family)

Overall: 62 / 100 (1 benchmark family)

57 matched rows from 11 benchmark families were considered. The radar shows 6 of 6 comparable categories.

Claude Sonnet 5GPT-6 Astra

AA-AnalystAgentOverall. Higher is better. No documented setup difference

Claude Sonnet 546.3%

GPT-6 Astra51.2%

AA-BriefcaseOverall. Higher is better. No documented setup difference

Claude Sonnet 5926.63 elo

GPT-6 Astra1,257.01 elo

AA-LCROverall. Higher is better. No documented setup difference

Claude Sonnet 567.3%

GPT-6 Astra80.0%

AA-OmniscienceOverall. Higher is better. No documented setup difference

Claude Sonnet 5-8.233 points

GPT-6 Astra40.55 points

AA-Omniscience AccuracyOverall. Higher is better. No documented setup difference

Claude Sonnet 537.4%

GPT-6 Astra59.5%

AA-Omniscience Hallucination RateOverall. Lower is better. No documented setup difference

Claude Sonnet 572.8%

GPT-6 Astra46.9%

Artificial Analysis Intelligence IndexOverall. Higher is better. No documented setup difference

Claude Sonnet 524.264 points

GPT-6 Astra45.782 points

AutomationBench-AAOverall. Higher is better. No documented setup difference

Claude Sonnet 519.9%

GPT-6 Astra59.1%

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

Claude Sonnet 544.392 %

GPT-6 Astra67.74 %

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

Claude Sonnet 561.905 %

GPT-6 Astra41.072 %

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

Claude Sonnet 566.316 %

GPT-6 Astra71.7 %

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

Claude Sonnet 553.909 %

GPT-6 Astra53.54 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Claude Sonnet 5 and GPT-6 Astra
Benchmark and task	Claude Sonnet 5	GPT-6 Astra	Source
AA-AnalystAgentOverall Test details No documented difference in the test setupVersion: AA cohort: 80 questionsMetric: pass^5 reliabilityScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 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 Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Max) (release claude-sonnet-5, row claude-sonnet-5, UUID 23c86e4a-c769-43c0-a056-79e3cd15834f, 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.	46.3% Questions, source files, and reference answers are private. pass^5 measures reliability across all five attempts, not pass@1.	Winner51.2% Questions, source files, and reference answers are private. pass^5 measures reliability across all five attempts, not pass@1.	Artificial Analysis Source details Data as of: 10/19/2026
AA-BriefcaseOverall Test details No documented difference in the test setupVersion: v1.1Metric: AA-Briefcase EloScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Low) (release claude-sonnet-5, row claude-sonnet-5-low, UUID 142b93bf-09c4-42dc-9c3a-50b1a222cbd4, 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.	926.63 elo	Winner1,257.01 elo	Artificial Analysis Source details Data as of: 10/19/2026
AA-LCROverall Test details No documented difference in the test setupVersion: v1.1Metric: Pass rateScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Low) (release claude-sonnet-5, row claude-sonnet-5-low, UUID 142b93bf-09c4-42dc-9c3a-50b1a222cbd4, 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.	67.3%	Winner80.0%	Artificial Analysis Source details Data as of: 10/19/2026
AA-OmniscienceOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: AA-Omniscience IndexScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Low) (release claude-sonnet-5, row claude-sonnet-5-low, UUID 142b93bf-09c4-42dc-9c3a-50b1a222cbd4, 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.	-8.233 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 Analysis Source details Data as of: 10/19/2026
AA-Omniscience AccuracyOverall Test details No documented difference in the test setupVersion: AA Omniscience diagnosticMetric: AA-Omniscience AccuracyScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 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 Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Low) (release claude-sonnet-5, row claude-sonnet-5-low, UUID 142b93bf-09c4-42dc-9c3a-50b1a222cbd4, 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.	37.4% 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 Analysis Source details Data as of: 10/19/2026
AA-Omniscience Hallucination RateOverall Test details No documented difference in the test setupVersion: AA Omniscience diagnosticMetric: AA-Omniscience Hallucination RateScoring: Lower is betterClaude Sonnet 5: Snapshot: Claude Sonnet 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 Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Low) (release claude-sonnet-5, row claude-sonnet-5-low, UUID 142b93bf-09c4-42dc-9c3a-50b1a222cbd4, 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).	72.8% 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 Analysis Source details Data as of: 10/19/2026
Artificial Analysis Intelligence IndexOverall Test details No documented difference in the test setupVersion: v4.3.2Metric: Artificial Analysis Intelligence IndexScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Low) (release claude-sonnet-5, row claude-sonnet-5-low, UUID 142b93bf-09c4-42dc-9c3a-50b1a222cbd4, 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.	24.264 points	Winner45.782 points	Artificial Analysis Source details Data as of: 10/19/2026
AutomationBench-AAOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: Objectives completed without guardrail violationsScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Low) (release claude-sonnet-5, row claude-sonnet-5-low, UUID 142b93bf-09c4-42dc-9c3a-50b1a222cbd4, 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.	19.9%	Winner59.1%	Artificial Analysis Source details Data as of: 10/19/2026
Code MigrationOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	44.392 %	Higher measured value67.74 %	Vals AI Source details Data as of: 10/12/2026
CyberBench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	Higher measured value61.905 %	41.072 %	Vals AI Source details Data as of: 10/12/2026
EMBOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	66.316 %	Higher measured value71.7 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	Higher measured value53.909 %	53.54 %	Vals AI Source details Data as of: 10/12/2026
GDP.pdfOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: All-pass rateScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Low) (release claude-sonnet-5, row claude-sonnet-5-low, UUID 142b93bf-09c4-42dc-9c3a-50b1a222cbd4, 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.	9.4%	Winner30.4%	Artificial Analysis Source details Data as of: 10/19/2026
GDPval-AAOverall Test details No documented difference in the test setupVersion: v2.1Metric: GDPval-AA EloScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Low) (release claude-sonnet-5, row claude-sonnet-5-low, UUID 142b93bf-09c4-42dc-9c3a-50b1a222cbd4, 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.	1,067.28 elo	Winner1,389.25 elo	Artificial Analysis Source details Data as of: 10/19/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	5 %	Higher measured value5.417 %	Vals AI Source details Data as of: 10/12/2026
Humanity's Last ExamOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: Text-only pass@1 accuracyScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Low) (release claude-sonnet-5, row claude-sonnet-5-low, UUID 142b93bf-09c4-42dc-9c3a-50b1a222cbd4, 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.	21.9% 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 Analysis Source details Data as of: 10/19/2026
IOIOverall Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	45 %	Higher measured value100 %	Vals AI Source details Data as of: 10/14/2026
Legal Research BenchOverall · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	Higher measured value41.827 %	39.423 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevOverall Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterClaude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena Code Arena WebDev GPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Code Arena WebDevClaude Sonnet 5: Arena rating from 15,175 published pairwise votes.GPT-6 Astra: Arena rating from 5,746 published pairwise votes.	1,539.919 95% confidence interval: ±6.061The 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.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlOverall Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena Text, style control GPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Text, style controlClaude Sonnet 5: Arena rating from 48,998 published pairwise votes.GPT-6 Astra: Arena rating from 11,674 published pairwise votes.	1,461.284 95% confidence interval: ±4.141The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	Higher measured value1,476.716 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.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlOverall Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena Vision, style control GPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Vision, style controlClaude Sonnet 5: Arena rating from 13,503 published pairwise votes.GPT-6 Astra: Arena rating from 3,590 published pairwise votes.	1,263.255 95% confidence interval: ±6.921The 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 value1,285.988 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.	LMArena Source details Data as of: 10/09/2026
MedCodeOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	47.54 %	Higher measured value48.486 %	Vals AI Source details Data as of: 10/13/2026
MedScribeOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	76.054 %	Higher measured value87.908 %	Vals AI Source details Data as of: 10/13/2026
MMMU-ProOverall Test details No documented difference in the test setupVersion: AA cohort: 1,730 questionsMetric: pass@1 accuracyScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Max), Reasoning: Max, Attempts: pass@1, one run per question GPT-6 Astra: Snapshot: GPT-6 Astra (Max), Reasoning: Max, Attempts: pass@1, one run per questionClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Max) (release claude-sonnet-5, row claude-sonnet-5, UUID 23c86e4a-c769-43c0-a056-79e3cd15834f, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). 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 (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 AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.	77.3% The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run.	Winner86.9% The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run.	Artificial Analysis Source details Data as of: 10/19/2026
ProgramBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	0 %	Higher measured value5.5 %	Vals AI Source details Data as of: 10/12/2026
ProofBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	77 %	Higher measured value99 %	Vals AI Source details Data as of: 10/12/2026
SAGEOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 30,000 tokens	Higher measured value48.925 %	46.367 %	Vals AI Source details Data as of: 10/08/2026
SRE BenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully solved rateScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	0.382 %	Higher measured value56.87 %	Vals AI Source details Data as of: 10/14/2026
Tax Agent BenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	Higher measured value29.374 %	20.717 %	Vals AI Source details Data as of: 10/12/2026
Terminal-BenchOverall Test details No documented difference in the test setupVersion: 4.0Metric: Task successScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Low), Reasoning: Low GPT-6 Astra: Snapshot: GPT-6 Astra (Low), Reasoning: LowClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Low) (release claude-sonnet-5, row claude-sonnet-5-low, UUID 142b93bf-09c4-42dc-9c3a-50b1a222cbd4, 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.	2.5%	Winner41.9%	Artificial Analysis Source details Data as of: 10/19/2026
Terminal-Bench 2.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	74.532 %	Higher measured value87.266 %	Vals AI Source details Data as of: 09/28/2026
Terminal-Bench 4.0Overall Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	10.606 %	Higher measured value59.596 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceOverall Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: 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	5.714 %	Higher measured value62.857 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexOverall Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: weighted index scoreScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	51.898 %	Higher measured value63.125 %	Vals AI Source details Data as of: 10/13/2026
Vibe Code Bench 1-100Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.0Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Harness: OpenHands, Output limit: 128,000 tokens	13.822 %	Higher measured value27.644 %	Vals AI Source details Data as of: 10/14/2026
Vibe Code Bench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Harness: OpenHands, Output limit: 128,000 tokens	81.325 %	Higher measured value89.594 %	Vals AI Source details Data as of: 10/12/2026
AA-BriefcaseOverall Test details No documented difference in the test setupVersion: v1.1Metric: AA-Briefcase EloScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Max), Reasoning: Max GPT-6 Astra: Snapshot: GPT-6 Astra (Max), Reasoning: MaxClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Max) (release claude-sonnet-5, row claude-sonnet-5, UUID 23c86e4a-c769-43c0-a056-79e3cd15834f, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.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.	1,358.4 elo	Winner1,568.99 elo	Artificial Analysis Source details Data as of: 10/19/2026
AA-LCROverall Test details No documented difference in the test setupVersion: v1.1Metric: Pass rateScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Max), Reasoning: Max GPT-6 Astra: Snapshot: GPT-6 Astra (Max), Reasoning: MaxClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Max) (release claude-sonnet-5, row claude-sonnet-5, UUID 23c86e4a-c769-43c0-a056-79e3cd15834f, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.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.	Winner82.0%	80.7%	Artificial Analysis Source details Data as of: 10/19/2026
AA-OmniscienceOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: AA-Omniscience IndexScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Max), Reasoning: Max GPT-6 Astra: Snapshot: GPT-6 Astra (Max), Reasoning: MaxClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Max) (release claude-sonnet-5, row claude-sonnet-5, UUID 23c86e4a-c769-43c0-a056-79e3cd15834f, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.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.	16.45 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis.	Winner43.4 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis.	Artificial Analysis Source details Data as of: 10/19/2026
AA-Omniscience AccuracyOverall Test details No documented difference in the test setupVersion: AA Omniscience diagnosticMetric: AA-Omniscience AccuracyScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Max), Reasoning: Max, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard GPT-6 Astra: Snapshot: GPT-6 Astra (Max), Reasoning: Max, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboardClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Max) (release claude-sonnet-5, row claude-sonnet-5, UUID 23c86e4a-c769-43c0-a056-79e3cd15834f, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). 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 (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. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.	40.1% This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better.	Winner62.6% This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better.	Artificial Analysis Source details Data as of: 10/19/2026
AA-Omniscience Hallucination RateOverall Test details No documented difference in the test setupVersion: AA Omniscience diagnosticMetric: AA-Omniscience Hallucination RateScoring: Lower is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Max), Reasoning: Max, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard GPT-6 Astra: Snapshot: GPT-6 Astra (Max), Reasoning: Max, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboardClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Max) (release claude-sonnet-5, row claude-sonnet-5, UUID 23c86e4a-c769-43c0-a056-79e3cd15834f, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). 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 (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. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).	Winner39.4% This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better.	51.3% This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better.	Artificial Analysis Source details Data as of: 10/19/2026
Artificial Analysis Intelligence IndexOverall Test details No documented difference in the test setupVersion: v4.3.2Metric: Artificial Analysis Intelligence IndexScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Max), Reasoning: Max GPT-6 Astra: Snapshot: GPT-6 Astra (Max), Reasoning: MaxClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Max) (release claude-sonnet-5, row claude-sonnet-5, UUID 23c86e4a-c769-43c0-a056-79e3cd15834f, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.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.	38.164 points	Winner52.674 points	Artificial Analysis Source details Data as of: 10/19/2026
AutomationBench-AAOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: Objectives completed without guardrail violationsScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Max), Reasoning: Max GPT-6 Astra: Snapshot: GPT-6 Astra (Max), Reasoning: MaxClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Max) (release claude-sonnet-5, row claude-sonnet-5, UUID 23c86e4a-c769-43c0-a056-79e3cd15834f, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.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.	36.5%	Winner68.5%	Artificial Analysis Source details Data as of: 10/19/2026
Code MigrationCLI Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	36.332 %	Higher measured value67.463 %	Vals AI Source details Data as of: 10/12/2026
CyberBench v1.1Patch Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	No direct winner82.143 %	No direct winner82.143 %	Vals AI Source details Data as of: 10/12/2026
EMBComps Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	69.384 %	Higher measured value77.953 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Adjustments Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	Higher measured value48.715 %	48.318 %	Vals AI Source details Data as of: 10/12/2026
GDP.pdfOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: All-pass rateScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Max), Reasoning: Max GPT-6 Astra: Snapshot: GPT-6 Astra (Max), Reasoning: MaxClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Max) (release claude-sonnet-5, row claude-sonnet-5, UUID 23c86e4a-c769-43c0-a056-79e3cd15834f, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.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.	13.2%	Winner31.0%	Artificial Analysis Source details Data as of: 10/19/2026
GDPval-AAOverall Test details No documented difference in the test setupVersion: v2.1Metric: GDPval-AA EloScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Max), Reasoning: Max GPT-6 Astra: Snapshot: GPT-6 Astra (Max), Reasoning: MaxClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Max) (release claude-sonnet-5, row claude-sonnet-5, UUID 23c86e4a-c769-43c0-a056-79e3cd15834f, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.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.	1,463.81 elo	Winner1,572.84 elo	Artificial Analysis Source details Data as of: 10/19/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	No direct winner88.768 %	No direct winner88.768 %	Vals AI Source details Data as of: 10/12/2026
Humanity's Last ExamOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: Text-only pass@1 accuracyScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Max), Reasoning: Max GPT-6 Astra: Snapshot: GPT-6 Astra (Max), Reasoning: MaxClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Max) (release claude-sonnet-5, row claude-sonnet-5, UUID 23c86e4a-c769-43c0-a056-79e3cd15834f, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.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.	41.3% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset.	Winner54.7% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset.	Artificial Analysis Source details Data as of: 10/19/2026
IOIIOI 2024 Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	50.5 %	Higher measured value100 %	Vals AI Source details Data as of: 10/14/2026
Legal Research BenchAdministrative / Regulatory · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	Higher measured value54.545 %	53.03 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevImage to webdev Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterClaude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena Code Arena WebDev GPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Code Arena WebDevClaude Sonnet 5: Arena rating from 7,633 published pairwise votes.GPT-6 Astra: Arena rating from 2,739 published pairwise votes.	1,539.169 95% confidence interval: ±7.844The 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 value1,731.395 95% confidence interval: ±13.296The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
LMArena Text, Style ControlBusiness, management and finance Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena Text, style control GPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Text, style controlClaude Sonnet 5: Arena rating from 9,443 published pairwise votes.GPT-6 Astra: Arena rating from 2,061 published pairwise votes.	1,464.402 95% confidence interval: ±6.971The 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 value1,472.34 95% confidence interval: ±13.336The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlChinese Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena Vision, style control GPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Vision, style controlClaude Sonnet 5: Arena rating from 822 published pairwise votes.GPT-6 Astra: Arena rating from 230 published pairwise votes.	1,316.791 95% confidence interval: ±22.41The 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 value1,357.126 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.	LMArena Source details Data as of: 10/09/2026
ProgramBenchAlmost Resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: almost-resolved rateScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	13.5 %	Higher measured value50 %	Vals AI Source details Data as of: 10/12/2026
SAGEAutomata Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 30,000 tokens	34.92 %	Higher measured value37.302 %	Vals AI Source details Data as of: 10/08/2026
SRE BenchCapability Score Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: capability scoreScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	7.697 %	Higher measured value63.868 %	Vals AI Source details Data as of: 10/14/2026
Tax Agent BenchControversy & Precedence Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	10 %	Higher measured value13.333 %	Vals AI Source details Data as of: 10/12/2026
Terminal-BenchOverall Test details No documented difference in the test setupVersion: 4.0Metric: Task successScoring: Higher is betterClaude Sonnet 5: Snapshot: Claude Sonnet 5 (Max), Reasoning: Max GPT-6 Astra: Snapshot: GPT-6 Astra (Max), Reasoning: MaxClaude Sonnet 5: Exact AA configuration: Claude Sonnet 5 (Max) (release claude-sonnet-5, row claude-sonnet-5, UUID 23c86e4a-c769-43c0-a056-79e3cd15834f, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.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.	14.1%	Winner59.1%	Artificial Analysis Source details Data as of: 10/19/2026
Terminal-Bench 2.1Easy Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterClaude Sonnet 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 AI Source details Data as of: 09/28/2026
Terminal-Bench 4.0Hardware Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterClaude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens	0 %	Higher measured value60 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceEarth Sciences Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterClaude Sonnet 5: 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	0 %	Higher measured value62.5 %	Vals AI Source details Data as of: 10/14/2026
Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Our tests

SVG short test

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

Shared test round: 4ae5d8eeb9a9

Claude Sonnet 5

Unavailable in this round

GPT-6 Astra

Unavailable in this round

Earlier tests

Pelican on a bicycle

A community classic for free-form SVG drawing.

Claude Sonnet 5

Reasoning (requested): high

Current attempt

Run date: Sep 7, 2026
API provider: openrouter
Requested API model: anthropic/claude-sonnet-5
API model reported in response: anthropic/claude-sonnet-5
Reasoning setting: high
Pinned endpoint: Anthropic | anthropic/claude-sonnet-5-20260630
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Passed, not a quality rating
Response time: 47.9 s

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

GPT-6 Astra

Reasoning (requested): high

Current attempt

Run date: Sep 7, 2026
API provider: openrouter
Requested API model: openai/gpt-6-astra
API model reported in response: openai/gpt-6-astra
Reasoning setting: high
Pinned endpoint: OpenAI | openai/gpt-6-astra-20260903
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Passed, not a quality rating
Response time: 141.7 s

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

Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)

How to read this comparison

Winning one benchmark is not an overall verdict

Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.

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More matchups

Compare Claude Sonnet 5 and GPT-6 Astra with other leading models using the same data and benchmark logic.

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Claude Sonnet 5 vs. GPT-6 Astra

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General specifications

API pricing compared

Shared benchmarks

Capability profile from matched benchmarks

Our tests

SVG short test

Claude Sonnet 5

GPT-6 Astra

Pelican on a bicycle

Winning one benchmark is not an overall verdict

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