Capability
81.9/100
field median 59
#4 of 231 ranked models
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Data as of September 3, 2026 · How the score is built
Agentic ranks #23. Particularly useful for coding agents, browser research, and computer-use workflows.
26 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Capability
81.9/100
field median 59
#4 of 231 ranked models
Price
$10input / $50 output
input median $1
cached $1 · blended $30
Speed
Not measured
field median 91 tok/s
Time to first token not measured
Context
1.05Mtokens
field median 256,000
Maximum output length is tracked separately
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
GPT-6 Astra category percentile values
The dashed outline is median of 6 nearest peers.
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Horizontal: blended price per million tokens, log scale · Vertical: public score
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #23 of 144Percentile 85thWeight 22%5 benchmarksVerified | 59.5 | #23 of 144 | 85th | 22% | 5 benchmarks | Verified |
| CodingRank #32 of 149Percentile 79thWeight 20%1 benchmarkVerified | 62.1 | #32 of 149 | 79th | 20% | 1 benchmark | Verified |
| ReasoningRank Not rankedWeight 17%4 benchmarksVerified | 85.2 | Not ranked | Not available | 17% | 4 benchmarks | Verified |
| KnowledgeRank Not rankedWeight 12%4 benchmarksVerified | 85.9 | Not ranked | Not available | 12% | 4 benchmarks | Verified |
| MathRank Not rankedWeight 5%1 benchmarkVerified | 85.2 | Not ranked | Not available | 5% | 1 benchmark | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%1 benchmarkVerified | Score pending | Not ranked | Not available | 12% | 1 benchmark | Verified |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| deepSwe | Score74.1% | Versus best verified row Best verified: Muse Spark 1.3 · 75.4% | Gap1.3 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| OSWorld 2.0 | Score72.6% | Versus best verified row Best verified: GPT-6 Astra · 72.6% | GapBest verified | WeightDisplay only | Provider exact |
| Terminal-Bench 4.0 | Score57.70% | Versus best verified row Best verified: Claude Mythos 5.1 · 60.90% | Gap3.2 behind | WeightDisplay only | Provider exact |
| Terminal-Bench-Science 0.1 | Score64.6% | Versus best verified row Best verified: GPT-6 Astra · 64.6% | GapBest verified | WeightDisplay only | Provider exact |
| ExploitGym | Score42.4% | Versus best verified row Best verified: GPT-6 Astra · 42.4% | GapBest verified | WeightDisplay only | Provider exact |
| Agents' Last Exam | Score59.3% | Versus best verified row Best verified: GPT-6 Astra · 59.3% | GapBest verified | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2 | Score95% | Versus best verified row Best verified: GPT-6 Astra · 95% | GapBest verified | WeightWeighted 31% | Benchmark exact |
| ARC-AGI-3Abstraction and Reasoning Corpus for AGI v3 | Score62.7% | Versus best verified row Best verified: GPT-6 Astra · 62.7% | GapBest verified | WeightDisplay only | Benchmark exact |
| MRCR v2 256K-512KOpenAI MRCR v2 8-needle 256K-512K | Score100.0% | Versus best verified row Best verified: GPT-6 Astra · 100.0% | GapBest verified | WeightDisplay only | Provider exact |
| MRCR v2 512K-1MOpenAI MRCR v2 8-needle 512K-1M | Score96.3% | Versus best verified row Best verified: Muse Spark 1.3 · 98.1% | Gap1.8 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| GPQAGraduate-Level Google-Proof Q&A | Score96% | Versus best verified row Best verified: GPT-6 Astra · 96% | GapBest verified | WeightWeighted 7% | Provider exact |
| GPQA-DGPQA Diamond | Score96.0% | Versus best verified row Best verified: GPT-6 Astra · 96.0% | GapBest verified | WeightDisplay only | Provider exact |
| HealthBench Professional | Score63.4% | Versus best verified row Best verified: GPT-6 Astra · 63.4% | GapBest verified | WeightDisplay only | Provider exact |
| HealthBench Hard | Score36.3% | Versus best verified row Best verified: Muse Spark · 42.8% | Gap6.5 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4 | Score97.600% | Versus best verified row Best verified: GPT-6 Astra · 97.600% | GapBest verified | WeightWeighted 10% | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ScreenSpot Pro | Score92.7% | Versus best verified row Best verified: GPT-6 Astra · 92.7% | GapBest verified | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ExploitBenchExploitBench v8-bench | Score100% | Versus best verified row Best verified: GPT-6 Astra · 100% | GapBest verified | WeightDisplay only | Provider exact |
| SRE-BenchSRE-Bench binary reverse engineering | Score88.0% | Versus best verified row Best verified: GPT-6 Astra · 88.0% | GapBest verified | WeightDisplay only | Provider exact |
| FrontierCyber | Score38.1% | Versus best verified row Best verified: GPT-6 Astra · 38.1% | GapBest verified | WeightDisplay only | Benchmark exact |
| CyScenarioBench successCyScenarioBench Average Success Rate | Score59% | Versus best verified row Best verified: GPT-6 Astra · 59% | GapBest verified | WeightDisplay only | Benchmark exact |
| CyScenarioBench solvedCyScenarioBench Scenarios Ever Solved | Score9% | Versus best verified row Best verified: GPT-6 Astra · 9% | GapBest verified | WeightDisplay only | Benchmark exact |
| Atomic network attacksAtomic Network Attack Simulation | Score100% | Versus best verified row Best verified: GPT-5.5 · 100% | GapBest verified | WeightDisplay only | Benchmark exact |
| Atomic vulnerability researchAtomic Vulnerability Research and Exploitation | Score100% | Versus best verified row Best verified: GPT-6 Astra · 100% | GapBest verified | WeightDisplay only | Benchmark exact |
| Atomic evasionAtomic Evasion | Score52% | Versus best verified row Best verified: GPT-5.6 Sol · 56% | Gap4 behind | WeightDisplay only | Benchmark exact |
| ACCR standardAdvanced Cyber Completion Rate — Standard Access | Score3.5% | Versus best verified row Best verified: GPT-6 Astra · 3.5% | GapBest verified | WeightDisplay only | Provider exact |
| ACCR Daybreak BlueAdvanced Cyber Completion Rate — Daybreak Blue | Score3.5% | Versus best verified row Best verified: GPT-6 Astra · 3.5% | GapBest verified | WeightDisplay only | Provider exact |
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Mar 5, 2026
GPT-5.4Score 72.9 · $2.5 / $15
Apr 23, 2026
GPT-5.5Score 73.0 · $5 / $30
Jul 9, 2026
GPT-5.6 SolScore 81.8 · $5 / $30
Sep 3, 2026 · you are here
GPT-6 AstraScore 81.9 · $10 / $50
astra · astra
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
GPT-6 Astra ranks #4 of 231 on the public leaderboard with a score of 81.88/100. It does not yet have enough sourced coverage for a verified position.
GPT-6 Astra is a proprietary model with a 1.05M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Rolling out as gpt-6-astra to enterprises in OpenAI's Trusted Access Program first, with API access and ChatGPT Plus, Pro, Business, and Enterprise access following in the coming days. OpenAI classifies Astra as Critical for cybersecurity under its Preparedness Framework and ships it with strengthened cyber safeguards and misalignment monitoring.
Official exact-value snapshot from OpenAI's September 3, 2026 GPT-6 Astra launch table and system card, supplemented by ARC Prize verified results and Irregular's independent cyber assessment. The launch table publishes GPQA Diamond, FrontierMath v2 Tier 4, OSWorld 2.0, Terminal-Bench 4.0, Terminal-Bench-Science 0.1, DeepSWE v1.1, ScreenSpot-Pro, Agents' Last Exam, ExploitGym, ExploitBench, SRE-Bench, and OpenAI MRCR v2 8-needle; the system card adds length-adjusted HealthBench Professional and HealthBench Hard plus Daybreak ACCR rows. OpenAI did not publish SWE-Bench Pro, Terminal-Bench 2.x, or FrontierMath Tiers 1-3 for Astra, so the weighted backbone stays sparse: the provisional lane keeps the row unranked and the bench-align v5 lane treats it as an estimated successor of GPT-5.6 Sol until independent benchmark-owner rows arrive. ARC-AGI rows use ARC Prize's standard-harness Max results; the near-saturating ARC-AGI-3 adapter-harness figure is noted in provenance only. Cyber rows remain display-only.
Its explicit predecessor is GPT-5.6 Sol. 26 of 417 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Agentic at #23, while its lowest eligible position is Coding at #32. particularly useful for coding agents, browser research, and computer-use workflows.
OpenAI · Model release
Radar confirmed these at the source. Already tracking GPT-6 Astra? See the free Radar Brief for what changes next.
GPT-6 Astra ranks #4 out of 231 models on the public BenchAlign leaderboard, with a score of 81.88/100. Its evidence status is Estimated, and this profile shows 26 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
GPT-6 Astra has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
GPT-6 Astra ranks #32 out of 149 eligible models for coding and programming, with a public category score of 62.1/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
GPT-6 Astra has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
GPT-6 Astra has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
GPT-6 Astra ranks #23 out of 144 eligible models for agentic tool use and computer tasks, with a public category score of 59.5/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
GPT-6 Astra has source-displayable benchmark coverage for multimodal and grounded tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
No. GPT-6 Astra currently has 43 source-displayable rows across 417 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
GPT-6 Astra has a documented context window of 1.05M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Related resources
Last updated September 3, 2026. Runtime fields remain blank until a sourced snapshot exists.
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