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Data

Data as of October 17, 2026 · How the score is built

CurrentProprietaryReasoning

Released Sep 3, 20261.05M context

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 scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #7 of 128Percentile 95thWeight 22%14 benchmarksVerified
74.8
CodingRank #4 of 150Percentile 98thWeight 20%6 benchmarksVerified
75.5
ReasoningRank #1 of 28Percentile 100thWeight 17%8 benchmarksVerified
93.3
MultimodalRank Not rankedWeight 12%2 benchmarksVerified
87.3
KnowledgeRank #3 of 184Percentile 99thWeight 12%7 benchmarksVerified
86.2
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingWeight 5%1 benchmarkVerified
Score pending
MathRank Not rankedWeight 5%2 benchmarksVerified
97.3

51 of 681 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How 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.

  1. Agentic14/14 verified
  2. Coding6/6 verified
  3. Reasoning8/8 verified
  4. Multimodal2/2 verified
  5. Knowledge7/7 verified
  6. MultilingualNot measured
  7. Inst. Following1/1 verified
  8. Math2/2 verified
Verified sourceProvisionalNot measured

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

  1. Agentic#7/128
  2. Coding#4/150
  3. Reasoning#1/28
  4. MultimodalNot ranked
  5. Knowledge#3/184
  6. MultilingualNot ranked
  7. Inst. FollowingNot ranked
  8. MathNot ranked
Top decileTop quartileMid-fieldNot eligible

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
Coding benchmark values, best verified comparison, weight, and source status
DeepSWEScore74.1%Versus best verified row

Best verified: Muse Wonder Full · 79.0%

Gap4.9 behindWeight15% ref. weight
Provider exact
FrontierSWE v2Score65.5%Versus best verified row

Best verified: GPT-6 Astra · 65.5%

GapBest verifiedWeight8% ref. weight
FrontierCode 1.1 MainScore53.3%Versus best verified row

Best verified: Claude Opus 5.5 · 54.4%

Gap1.1 behindWeight4% ref. weight
Provider exact
FrontierCode 1.1 ExtendedScore64.5%Versus best verified row

Best verified: GPT-6 Astra · 64.5%

GapBest verifiedWeightDisplay only
Provider exact
PostTrainBench v1.1Score44.3%Versus best verified row

Best verified: Claude Opus 5.5 · 49.3%

Gap5 behindWeightDisplay only
Bug Hunt BenchScore45.0 fixesVersus best verified row

Best verified: Claude Sonnet 5.5 · 51.3 fixes

Gap6.3 behindWeightDisplay only
Agentic14 rows
Agentic benchmark values, best verified comparison, weight, and source status
BrowseCompScore91.5%Versus best verified row

Best verified: Atria Dawn Preview · 92.5%

Gap1 behindWeight8% ref. weight
Provider exact
Terminal-Bench 4.0Score57.90%Versus best verified row

Best verified: Claude Sonnet 5.5 · 70.60%

Gap12.7 behindWeight8% ref. weight
Provider exact
AutomationBenchScore41.4%Versus best verified row

Best verified: DeepSeek V4.1 Flash 1017 · 60.5%

Gap19.1 behindWeight6% ref. weight
Provider exact
Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI runScore87.3%Versus best verified row

Best verified: GPT-6 Astra · 87.3%

GapBest verifiedWeight4% ref. weight
Agents' Last ExamScore59.3%Versus best verified row

Best verified: GPT-6 Astra · 59.3%

GapBest verifiedWeight3% ref. weight
Provider exact
HLE w/ toolsHumanity's Last Exam with toolsScore57.2%Versus best verified row

Best verified: Claude Opus 5.5 · 67.7%

Gap10.5 behindWeight3% ref. weight
Provider exact
OSWorld 2.0Score72.6%Versus best verified row

Best verified: GPT-6 Astra · 72.6%

GapBest verifiedWeightDisplay only
Provider exact
Terminal-Bench-Science 0.1Score64.6%Versus best verified row

Best verified: GPT-6 Astra · 64.6%

GapBest verifiedWeightDisplay only
Provider exact
ExploitGymScore42.4%Versus best verified row

Best verified: GPT-6 Astra · 42.4%

GapBest verifiedWeightDisplay only
Provider exact
ApprenticeBenchApprenticeBench: end-to-end computer use, continual learning, and long-horizon agency on a real accounts-payable jobScore68%Versus best verified row

Best verified: Claude Fable 5.1 · 72%

Gap4 behindWeightDisplay only
CWE-bench v1Score68.0%Versus best verified row

Best verified: GPT-6 Astra · 68.0%

GapBest verifiedWeightDisplay only
Hermes IndexHermes Index: agentic capability and cost per task inside Hermes AgentScore56.3%Versus best verified row

Best verified: Claude Opus 5.5 · 63.3%

Gap7.1 behindWeightDisplay only
Hermes BenchHermes Bench: 150 agent tasks graded on the files and state the agent leaves behindScore73.7%Versus best verified row

Best verified: Claude Opus 5.5 · 76.7%

Gap3.1 behindWeightDisplay only
MazeBenchMazeBench: visual spatial reasoning in a 3D open worldScore23%Versus best verified row

Best verified: GPT-6 Astra · 23%

GapBest verifiedWeightDisplay only
Reasoning8 rows
Reasoning benchmark values, best verified comparison, weight, and source status
ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2Score95%Versus best verified row

Best verified: GPT-6 Astra · 95%

GapBest verifiedWeightWeighted 25%
ARC-AGI-3Abstraction and Reasoning Corpus for AGI v3Score62.7%Versus best verified row

Best verified: GPT-6 Astra · 62.7%

GapBest verifiedWeightWeighted 15%
STEMBenchSTEMBench120: six-domain scientific research progressScore2.81Versus best verified row

Best verified: GPT-6 Astra · 2.81

GapBest verifiedWeightDisplay only
ARC-AGI-1ARC-AGI-1 Semi-Private EvaluationScore98.50%Versus best verified row

Best verified: GPT-6 Astra · 98.50%

GapBest verifiedWeightDisplay only
Provider exact
GeneBench-ProScore37.8%Versus best verified row

Best verified: GPT-6 Astra · 37.8%

GapBest verifiedWeightDisplay only
Provider exact
MRCR v2 256K-512KOpenAI MRCR v2 8-needle 256K-512KScore100.0%Versus best verified row

Best verified: GPT-6 Astra · 100.0%

GapBest verifiedWeightDisplay only
Provider exact
MRCR v2 512K-1MOpenAI MRCR v2 8-needle 512K-1MScore96.3%Versus best verified row

Best verified: Muse Spark 1.3 · 98.1%

Gap1.8 behindWeightDisplay only
Provider exact
GraphWalks BFS 256K–1MScore71.8%Versus best verified row

Best verified: Gemini 4 Argon · 84.2%

Gap12.4 behindWeightDisplay only
Multimodal2 rows
Multimodal benchmark values, best verified comparison, weight, and source status
ScreenSpot ProScore92.7%Versus best verified row

Best verified: GPT-6 Astra · 92.7%

GapBest verifiedWeightDisplay only
Provider exact
BenchCAD Vision2Code (tools)BenchCAD Vision2Code voxel IoU with toolsScore0.959Versus best verified row

Best verified: Claude Sonnet 5.5 · 0.963

Gap0 behindWeightDisplay only
Provider exact
Knowledge7 rows
Knowledge benchmark values, best verified comparison, weight, and source status
GPQAGraduate-Level Google-Proof Q&AScore96%Versus best verified row

Best verified: GPT-6 Astra · 96%

GapBest verifiedWeight3% ref. weight
Provider exact
GPQA-DGPQA DiamondScore96.0%Versus best verified row

Best verified: GPT-6 Astra · 96.0%

GapBest verifiedWeightDisplay only
Provider exact
HealthBench (raw)HealthBench raw scoreScore56.9%Versus best verified row

Best verified: Claude Sonnet 5.5 · 69.4%

Gap12.5 behindWeightDisplay only
HealthBench (length-adjusted)HealthBench length-adjusted scoreScore58.3%Versus best verified row

Best verified: Claude Sonnet 5.5 · 65.4%

Gap7.1 behindWeightDisplay only
HealthBench ProfessionalScore64.7%Versus best verified row

Best verified: Claude Sonnet 5.5 · 69.2%

Gap4.5 behindWeightDisplay only
HealthBench Professional (raw)HealthBench Professional raw scoreScore68.2%Versus best verified row

Best verified: Claude Sonnet 5.5 · 77.1%

Gap8.9 behindWeightDisplay only
HealthBench HardScore36.6%Versus best verified row

Best verified: Muse Spark · 42.8%

Gap6.2 behindWeightDisplay only
Inst. Following1 row
Inst. Following benchmark values, best verified comparison, weight, and source status
Gray Swan IPI (15 attempts)Gray Swan Indirect Prompt Injection, attack success at 15 attemptsScore8.5%Versus best verified row

Best verified: Gemini 4 Argon · 0.7%

Gap7.8 behindWeightDisplay only
Math2 rows
Math benchmark values, best verified comparison, weight, and source status
FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3Score93.684%Versus best verified row

Best verified: GPT-6 Astra · 93.684%

GapBest verifiedWeightWeighted 30%
FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4Score97.600%Versus best verified row

Best verified: GPT-6.1 Sol · 100.000%

Gap2.4 behindWeightWeighted 10%
Provider exact
External signals11 rows
External signals benchmark values, best verified comparison, weight, and source status
ExploitBenchExploitBench v8-benchScore100%Versus best verified row

Best verified: GPT-6 Astra · 100%

GapBest verifiedWeightDisplay only
SRE-BenchSRE-Bench binary reverse engineeringScore88.0%Versus best verified row

Best verified: GPT-6 Astra · 88.0%

GapBest verifiedWeightDisplay only
Provider exact
SEC-Bench ProScore85.4%Versus best verified row

Best verified: GPT-6 Astra · 85.4%

GapBest verifiedWeightDisplay only
Provider exact
FrontierCyberScore38.1%Versus best verified row

Best verified: GPT-6 Astra · 38.1%

GapBest verifiedWeightDisplay only
CyScenarioBench successCyScenarioBench Average Success RateScore59%Versus best verified row

Best verified: GPT-6 Astra · 59%

GapBest verifiedWeightDisplay only
CyScenarioBench solvedCyScenarioBench Scenarios Ever SolvedScore9%Versus best verified row

Best verified: GPT-6 Astra · 9%

GapBest verifiedWeightDisplay only
Atomic network attacksAtomic Network Attack SimulationScore100%Versus best verified row

Best verified: GPT-6 Astra · 100%

GapBest verifiedWeightDisplay only
Atomic vulnerability researchAtomic Vulnerability Research and ExploitationScore100%Versus best verified row

Best verified: GPT-6 Astra · 100%

GapBest verifiedWeightDisplay only
Atomic evasionAtomic EvasionScore52%Versus best verified row

Best verified: GPT-5.6 Sol · 56%

Gap4 behindWeightDisplay only
ACCR standardAdvanced Cyber Completion Rate — Standard AccessScore3.5%Versus best verified row

Best verified: GPT-6 Astra · 3.5%

GapBest verifiedWeightDisplay only
ACCR Daybreak BlueAdvanced Cyber Completion Rate — Daybreak BlueScore3.5%Versus best verified row

Best verified: GPT-6 Astra · 3.5%

GapBest verifiedWeightDisplay only

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.

Current modelExplore all models

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.

405060708090100$0.10$0.50$1$5$10$25$50$100↘ frontierGPT-6 Astra

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.

  1. Mar 5, 2026

    GPT-5.4

    Score 66.7 · $2.5 / $15

  2. Apr 23, 2026

    GPT-5.5

    Score 69.3 · $5 / $30

  3. Jul 9, 2026

    GPT-5.6 Sol

    Score 75.3 · $4 / $20

  4. Sep 3, 2026 · you are here

    GPT-6 Astra

    Score 83.9 · $10 / $50

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

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
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
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.

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Compare GPT-6 Astra with every tracked model953 comparisons