Data as of October 17, 2026 · How the score is built
GPT-6 Astra
Decision readingGPT-6 Astra scores 83.9 out of 100 and ranks #3 of 224. This profile shows 51 source-displayable benchmark rows; its strongest eligible category is Reasoning at #1. API pricing is $10 input and $50 output per million tokens, with cached input at $1.
Released Sep 3, 2026 — see all recent releases
Decision snapshot
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
83.9/100
field median 49.6#3 of 224 ranked models
Public
#3of 224
Verified #3 of 88
Price
$10input / $50 output
input median $0.75cached $1 · blended $30
Speed
44tok/s
field median 92 tok/sFirst token 264.42 s
Context
1.05Mtokens
field median 256,000Maximum output length is tracked separately
Strongest published evidence
Reasoning ranks #1. Particularly strong for complex reasoning, multi-step problem solving, and analytical tasks.
Validate before choosing
51 published rows leave some tracked benchmark slots empty. Agentic is its lowest eligible category at #7.
Source-linked · 51 displayable benchmark rows
Category score record
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 #7 of 128Percentile 95thWeight 22%14 benchmarksVerified | 74.8 | 14 benchmarks | Verified | |||
| CodingRank #4 of 150Percentile 98thWeight 20%6 benchmarksVerified | 75.5 | 6 benchmarks | Verified | |||
| ReasoningRank #1 of 28Percentile 100thWeight 17%8 benchmarksVerified | 93.3 | 8 benchmarks | Verified | |||
| MultimodalRank Not rankedWeight 12%2 benchmarksVerified | 87.3 | 2 benchmarks | Verified | |||
| KnowledgeRank #3 of 184Percentile 99thWeight 12%7 benchmarksVerified | 86.2 | 7 benchmarks | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| MathRank Not rankedWeight 5%2 benchmarksVerified | 97.3 | 2 benchmarks | Verified |
51 of 681 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow much of this is verified
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.
- Agentic14/14 verified
- Coding6/6 verified
- Reasoning8/8 verified
- Multimodal2/2 verified
- Knowledge7/7 verified
- MultilingualNot measured
- Inst. Following1/1 verified
- Math2/2 verified
Capability shape
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
- Agentic95th percentile
- Coding98th percentile
- Reasoning100th percentile
- MultimodalNot eligible
- Knowledge99th percentile
- MultilingualNot eligible
- Instruction followingNot eligible
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#7/128
- Coding#4/150
- Reasoning#1/28
- MultimodalNot ranked
- Knowledge#3/184
- MultilingualNot ranked
- Inst. FollowingNot ranked
- MathNot ranked
Benchmark ledger
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.
Coding6 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| DeepSWE | Score74.1% | Versus best verified row Best verified: Muse Wonder Full · 79.0% | Gap4.9 behind | Weight15% ref. weight | Provider exact |
| FrontierSWE v2 | Score65.5% | Versus best verified row Best verified: GPT-6 Astra · 65.5% | GapBest verified | Weight8% ref. weight | Benchmark exact |
| FrontierCode 1.1 Main | Score53.3% | Versus best verified row Best verified: Claude Opus 5.5 · 54.4% | Gap1.1 behind | Weight4% ref. weight | Provider exact |
| FrontierCode 1.1 Extended | Score64.5% | Versus best verified row Best verified: GPT-6 Astra · 64.5% | GapBest verified | WeightDisplay only | Provider exact |
| PostTrainBench v1.1 | Score44.3% | Versus best verified row Best verified: Claude Opus 5.5 · 49.3% | Gap5 behind | WeightDisplay only | Provider exact |
| Bug Hunt Bench | Score45.0 fixes | Versus best verified row Best verified: Claude Sonnet 5.5 · 51.3 fixes | Gap6.3 behind | WeightDisplay only | Benchmark exact |
Agentic14 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| BrowseComp | Score91.5% | Versus best verified row Best verified: Atria Dawn Preview · 92.5% | Gap1 behind | Weight8% ref. weight | Provider exact |
| Terminal-Bench 4.0 | Score57.90% | Versus best verified row Best verified: Claude Sonnet 5.5 · 70.60% | Gap12.7 behind | Weight8% ref. weight | Provider exact |
| AutomationBench | Score41.4% | Versus best verified row Best verified: DeepSeek V4.1 Flash 1017 · 60.5% | Gap19.1 behind | Weight6% ref. weight | Provider exact |
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score87.3% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | GapBest verified | Weight4% ref. weight | |
| Agents' Last Exam | Score59.3% | Versus best verified row Best verified: GPT-6 Astra · 59.3% | GapBest verified | Weight3% ref. weight | Provider exact |
| HLE w/ toolsHumanity's Last Exam with tools | Score57.2% | Versus best verified row Best verified: Claude Opus 5.5 · 67.7% | Gap10.5 behind | Weight3% ref. weight | Provider exact |
| OSWorld 2.0 | Score72.6% | Versus best verified row Best verified: GPT-6 Astra · 72.6% | GapBest verified | 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 |
| ApprenticeBenchApprenticeBench: end-to-end computer use, continual learning, and long-horizon agency on a real accounts-payable job | Score68% | Versus best verified row Best verified: Claude Fable 5.1 · 72% | Gap4 behind | WeightDisplay only | Benchmark exact |
| CWE-bench v1 | Score68.0% | Versus best verified row Best verified: GPT-6 Astra · 68.0% | GapBest verified | WeightDisplay only | Benchmark exact |
| Hermes IndexHermes Index: agentic capability and cost per task inside Hermes Agent | Score56.3% | Versus best verified row Best verified: Claude Opus 5.5 · 63.3% | Gap7.1 behind | WeightDisplay only | Benchmark exact |
| Hermes BenchHermes Bench: 150 agent tasks graded on the files and state the agent leaves behind | Score73.7% | Versus best verified row Best verified: Claude Opus 5.5 · 76.7% | Gap3.1 behind | WeightDisplay only | Benchmark exact |
| MazeBenchMazeBench: visual spatial reasoning in a 3D open world | Score23% | Versus best verified row Best verified: GPT-6 Astra · 23% | GapBest verified | WeightDisplay only | Benchmark exact |
Reasoning8 rows
| 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 25% | 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 | WeightWeighted 15% | Benchmark exact |
| STEMBenchSTEMBench120: six-domain scientific research progress | Score2.81 | Versus best verified row Best verified: GPT-6 Astra · 2.81 | GapBest verified | WeightDisplay only | Benchmark exact |
| ARC-AGI-1ARC-AGI-1 Semi-Private Evaluation | Score98.50% | Versus best verified row Best verified: GPT-6 Astra · 98.50% | GapBest verified | WeightDisplay only | Provider exact |
| GeneBench-Pro | Score37.8% | Versus best verified row Best verified: GPT-6 Astra · 37.8% | GapBest verified | WeightDisplay only | Provider 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 |
| GraphWalks BFS 256K–1M | Score71.8% | Versus best verified row Best verified: Gemini 4 Argon · 84.2% | Gap12.4 behind | WeightDisplay only | Provider exact |
Multimodal2 rows
| 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 |
| BenchCAD Vision2Code (tools)BenchCAD Vision2Code voxel IoU with tools | Score0.959 | Versus best verified row Best verified: Claude Sonnet 5.5 · 0.963 | Gap0 behind | WeightDisplay only | Provider exact |
Knowledge7 rows
| 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 | Weight3% ref. weight | 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 (raw)HealthBench raw score | Score56.9% | Versus best verified row Best verified: Claude Sonnet 5.5 · 69.4% | Gap12.5 behind | WeightDisplay only | Provider exact |
| HealthBench (length-adjusted)HealthBench length-adjusted score | Score58.3% | Versus best verified row Best verified: Claude Sonnet 5.5 · 65.4% | Gap7.1 behind | WeightDisplay only | Provider exact |
| HealthBench Professional | Score64.7% | Versus best verified row Best verified: Claude Sonnet 5.5 · 69.2% | Gap4.5 behind | WeightDisplay only | Provider exact |
| HealthBench Professional (raw)HealthBench Professional raw score | Score68.2% | Versus best verified row Best verified: Claude Sonnet 5.5 · 77.1% | Gap8.9 behind | WeightDisplay only | Provider exact |
| HealthBench Hard | Score36.6% | Versus best verified row Best verified: Muse Spark · 42.8% | Gap6.2 behind | WeightDisplay only | Provider exact |
Inst. Following1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Gray Swan IPI (15 attempts)Gray Swan Indirect Prompt Injection, attack success at 15 attempts | Score8.5% | Versus best verified row Best verified: Gemini 4 Argon · 0.7% | Gap7.8 behind | WeightDisplay only | Provider exact |
Math2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3 | Score93.684% | Versus best verified row Best verified: GPT-6 Astra · 93.684% | GapBest verified | WeightWeighted 30% | Benchmark exact |
| FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4 | Score97.600% | Versus best verified row Best verified: GPT-6.1 Sol · 100.000% | Gap2.4 behind | WeightWeighted 10% | Provider exact |
External signals11 rows
| 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 |
| SEC-Bench Pro | Score85.4% | Versus best verified row Best verified: GPT-6 Astra · 85.4% | 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-6 Astra · 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 |
What it costs to get this score
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.
GPT-6 Astra · 83.9 score · $30 blended per million tokens
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
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- gpt-6-astraOpenAI GPT-6 Astra model documentation
- Context window
- 1.05MOpenAI GPT-6 Astra model documentation
- Maximum output
- 128,000 tokens (922,000 maximum input tokens)OpenAI GPT-6 Astra model documentation
- Knowledge cutoff
- April 30, 2026OpenAI GPT-6 Astra model documentation
- Input modalities
- text, imageOpenAI GPT-6 Astra model documentation
- Output modalities
- textOpenAI GPT-6 Astra model documentation
- Parameters
- Not disclosed by the provider
- Availability
- OpenAI Responses API · OpenAI Chat Completions API · ChatGPT Plus, Pro, Business, and Enterprise · Microsoft Azure · AWS BedrockOpenAI GPT-6 Astra model documentation
Chat Completions does not support tool calling with GPT-6 Astra. Use the Responses API for function calling and built-in tools. OpenAI reasoning guide, read Sep 25, 2026
- Cloud regions
- Not tracked yet
- Lifecycle
- activeOpenAI GPT-6 Astra model documentation
- API capabilities
- Streaming · function calling · structured outputs · web/file search · image generation · code interpreter · hosted shell · apply patch · skills · computer use · MCP · tool searchOpenAI GPT-6 Astra model documentation
- Prompt caching
- Published at $1 per million cached input tokensOpenAI GPT-6 Astra model documentation
- Self-host
- Weights are not published
- Rate limits
- Tier 1: 500 RPM / 500K TPM; Tier 5: 15K RPM / 40M TPM; Free unsupportedOpenAI GPT-6 Astra model documentation
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
GPT-6 Astra ranks #3 of 224 on the public leaderboard with a score of 83.88/100. Its source-verified position is #3 of 88.
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 also lists Microsoft Azure and AWS Bedrock distribution, Zero Data Retention for eligible API customers, and GPT-6 Astra Pro for Pro, Business, and Enterprise users. 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, FrontierCode 1.1 Main and Extended, ScreenSpot-Pro, BenchCAD, BrowseComp, AutomationBench, Agents' Last Exam, HLE with tools, GeneBench Pro, ExploitGym, ExploitBench, SEC-Bench Pro, SRE-Bench, and OpenAI MRCR v2 8-needle; the system card adds length-adjusted HealthBench Professional and HealthBench Hard plus Daybreak ACCR rows. LifeSciBench, length-adjusted HealthBench and HealthBench Consensus, the contamination-controlled internal ExploitBench port, SRE-Bench pass@4, and internal launch evaluations stay out of scored fields because the current schema has no exact compatible lane. OpenAI did not publish SWE-Bench Pro, Terminal-Bench 2.x, or FrontierMath Tiers 1-3 for Astra, so direct coverage of the weighted benchmark backbone remains sparse. 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.
GPT-6 Astra sits in the GPT-6 family with GPT-6.1 Sol, GPT-6 Sol, GPT-6 Luna. Its explicit predecessor is GPT-5.6 Sol. 51 of 681 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Reasoning at #1, while its lowest eligible position is Agentic at #7. particularly strong for complex reasoning, multi-step problem solving, and analytical tasks.
Last updated October 17, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does GPT-6 Astra perform overall in AI benchmarks?
GPT-6 Astra ranks #3 out of 224 models on the public BenchAlign leaderboard, with a score of 83.88/100. Its evidence status is Supported, and this profile shows 51 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is GPT-6 Astra good for knowledge and understanding?
GPT-6 Astra ranks #3 out of 184 eligible models for knowledge and understanding, with a public category score of 86.2/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Is GPT-6 Astra good for coding and programming?
GPT-6 Astra ranks #4 out of 150 eligible models for coding and programming, with a public category score of 75.5/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Is GPT-6 Astra good for mathematics?
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.
Is GPT-6 Astra good for reasoning and logic?
GPT-6 Astra ranks #1 out of 28 eligible models for reasoning and logic, with a public category score of 93.3/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Is GPT-6 Astra good for agentic tool use and computer tasks?
GPT-6 Astra ranks #7 out of 128 eligible models for agentic tool use and computer tasks, with a public category score of 74.8/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Is GPT-6 Astra good for multimodal and grounded tasks?
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.
Is GPT-6 Astra good for instruction following?
GPT-6 Astra has source-displayable benchmark coverage for instruction following, 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.
Which sibling models are related to GPT-6 Astra?
GPT-6 Astra belongs to the GPT-6 family. Related tracked variants include GPT-6.1 Sol, GPT-6 Sol, GPT-6 Luna. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does GPT-6 Astra have full benchmark coverage on BenchLM?
No. GPT-6 Astra currently has 74 source-displayable rows across 681 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.
What is the context window size of GPT-6 Astra?
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.