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OpenAI

GPT-6 Astra

GPT-6 Astra is a OpenAI model with 1.05M context, $10 in / $50 out per million tokens, last verified October 1, 2026. Open weights: no. Public-board scores are linked to the publisher; vendor-only figures stay in the watch-out, not on the board.

OpenAI describes GPT-6 Astra as its most capable model for complex reasoning, coding and computer use, and the first it gates at the Preparedness Framework's 'Critical' cybersecurity threshold.

Recorded profile verification October 1, 2026Individual provider fields may change

AI model specification details
SpecificationGPT-6 Astra
ProviderOpenAI
TierFrontier
Context window1.05M
Max output128K
Input / 1M tokens$10
Output / 1M tokens$50
WeightsClosed
ParametersNot verifiedUnverified
Reasoning levelslow, medium, high, xhigh, max
Modalitiestext, image
API model idgpt-6-astra
ReleasedSeptember 3, 2026

Pricing tiers: Standard $10/$50 per MTok (≤272K input); above 272K the full request bills $20/$75. Cached input $1/$2 and cache writes $12.50/$25 for short/long context. Batch/Flex are half Standard; Fast is 2x. Ultrafast is 6x: $60/$300 short, $120/$450 long, through Responses with global/US processing; no EU or other regional inference residency. Regional/FedRAMP processing adds 10% where eligible. Knowledge cutoff Apr 30 2026. Enterprise model access is disabled by default.

Publisher evidence

Published benchmark results

Each result keeps its source date visible. Dates refer to source publication or capture unless the source explicitly states when it measured the result. A missing benchmark is not treated as a zero.

Published benchmark results for GPT-6 Astra
BenchmarkScoreSource dateSource
Artificial Analysis Intelligence Index [max]GPT-6 Astra (max)532026-10-01Artificial Analysis · View source
DeepSWE 1.1xhigh, mini-swe-agent; matches Datacurve's independent board (74.1% at $4.43/task, rank 1; board updated 2026-09-22)74.1%2026-09-03OpenAI · View source
OSWorld 2.0 (offline)v2026.08.08 offline set, partial reward; vendor research/API evaluation, maximum across evaluated efforts72.6%2026-09-03OpenAI (vendor-reported) · View source
GPQA Diamond96%2026-09-03OpenAI GPT-6 Astra evaluation table (vendor-reported; maximum across evaluated efforts) · View source
Humanity's Last Exam57.2%2026-09-03OpenAI GPT-6 Astra evaluation table (vendor-reported, with tools; maximum across evaluated efforts) · View source

Benchmark

DeepSWE 1.1 in context

The full local snapshot puts this model beside the wider field, including cost per completed task.

Local leader

GPT-6 Astra [xhigh]

74.1%

Rows shown

28

Best source-matched Pass@1 per model

Snapshot date

2026-10-01

Mirrored from deepswe.datacurve.ai

DeepSWE 1.1 pass@10%16%32%48%64%80%$0$4.50$9.00$13.50$18.00$22.50$27.00Avg cost per taskGPT-6 Astra [xhigh]: 74.1% · $4.43 · 30k tokens · 29 stepsGemini 3.8 Flash [high]: 73.8% · $2.36 · 143k tokens · 166 stepsClaude Opus 5 [max]: 73.6% · $11.84 · 118k tokens · 99 stepsGPT-5.6 Sol [max]: 72.7% · $8.39 · 60k tokens · 61 stepsClaude Fable 5 [xhigh]: 69.9% · $13.41 · 80k tokens · 68 stepsGPT-5.6 Terra [max]: 69.6% · $4.95 · 72k tokens · 76 stepsGLM 5.3 [max]: 69.0% · $3.99 · 80k tokens · 124 stepsKimi K3 [max]: 68.5% · $4.65 · 82k tokens · 98 stepsGrok 4.6 [medium]: 67.5% · $3.45 · 50k tokens · 70 stepsGPT-5.6 Luna [max]: 67.2% · $3.03 · 73k tokens · 102 stepsGPT-5.5 [xhigh]: 67.0% · $7.23 · 46k tokens · 82 stepsGemini 3.7 Flash [medium]: 65.5% · $2.03 · 94k tokens · 117 stepsGLM 5.3 Flash [max]: 63.4% · $0.48 · 73k tokens · 123 stepsDeepSeek V4-Pro [max]: 62.8% · $0.24 · 106k tokens · 155 stepsClaude Opus 4.8 [max]: 59.0% · $13.22 · 135k tokens · 120 stepsQwen3.8-Max [xhigh]: 57.5% · $3.73 · 95k tokens · 111 stepsMuse Spark 1.2 [xhigh]: 54.9% · $3.70 · 99k tokens · 101 stepsClaude Sonnet 5 [max]: 53.8% · $26.40 · 214k tokens · 268 stepsGrok 4.5 [high]: 53.8% · $2.42 · 36k tokens · 61 stepsDeepSeek V4-Flash [max]: 53.3% · $0.10 · 108k tokens · 153 stepsMuse Spark 1.1 [xhigh]: 53.3% · $2.36 · 74k tokens · 96 stepsGPT-5.4 [xhigh]: 51.8% · $5.65 · 71k tokens · 70 stepsGemini 3.6 Flash [high]: 46.7% · $4.42 · 96k tokens · 117 stepsGLM 5.2 [max]: 43.8% · $3.92 · 78k tokens · 129 stepsGemini 3.5 Flash [high]: 36.1% · $3.45 · 76k tokens · 105 stepsKimi K2.7 Code: 30.5% · $2.82 · 59k tokens · 149 stepsClaude Sonnet 4.6 [high]: 29.9% · $5.52 · 76k tokens · 134 stepsGemini 3.1 Pro [high]: 11.7% · $2.14 · 28k tokens · 76 steps

Better is toward the top-right (higher pass rate, lower cost). X-axis is reversed to match DeepSWE’s public chart. v1.1 uses average cost, output tokens and steps. Legacy v1 transcriptions are excluded here until an exact primary receipt is retained.

DeepSWE 1.1 leaderboard with pass rate, cost, tokens, and steps per task
#ModelPass@1Cost / taskTokens / taskSteps / task
1GPT-6 Astra [xhigh]74.1%$4.4330k29
2Gemini 3.8 Flash [high]73.8%$2.36143k166
3Claude Opus 5 [max]73.6%$11.84118k99
4GPT-5.6 Sol [max]72.7%$8.3960k61
5Claude Fable 5 [xhigh]69.9%$13.4180k68
6GPT-5.6 Terra [max]69.6%$4.9572k76
7GLM 5.3 [max]69.0%$3.9980k124
8Kimi K3 [max]68.5%$4.6582k98
9Grok 4.6 [medium]67.5%$3.4550k70
10GPT-5.6 Luna [max]67.2%$3.0373k102
11GPT-5.5 [xhigh]67.0%$7.2346k82
12Gemini 3.7 Flash [medium]65.5%$2.0394k117
13GLM 5.3 Flash [max]63.4%$0.4873k123
14DeepSeek V4-Pro [max]62.8%$0.24106k155
15Claude Opus 4.8 [max]59.0%$13.22135k120
16Qwen3.8-Max [xhigh]57.5%$3.7395k111
17Muse Spark 1.2 [xhigh]54.9%$3.7099k101
18Claude Sonnet 5 [max]53.8%$26.40214k268
19Grok 4.5 [high]53.8%$2.4236k61
20DeepSeek V4-Flash [max]53.3%$0.10108k153
21Muse Spark 1.1 [xhigh]53.3%$2.3674k96
22GPT-5.4 [xhigh]51.8%$5.6571k70
23Gemini 3.6 Flash [high]46.7%$4.4296k117
24GLM 5.2 [max]43.8%$3.9278k129
25Gemini 3.5 Flash [high]36.1%$3.4576k105
26Kimi K2.7 Code30.5%$2.8259k149
27Claude Sonnet 4.6 [high]29.9%$5.5276k134
28Gemini 3.1 Pro [high]11.7%$2.1428k76

“Best per model” shows each model’s highest source-matched Pass@1 in this capture; switch to all effort levels to see every retained configuration. Efforts differ across models, so this view is not a comparison at matched effort. The source was generated September 22 and captured October 1. Small gaps may not be statistically meaningful — confirm on deepswe.datacurve.ai.

Best for

  • Computer-use agents
  • Agentic coding
  • Hard reasoning

Watch out

OpenAI places Astra at its Critical cybersecurity threshold and disables it by default for Enterprise. Tool calling requires Responses; none reasoning and custom temperature/top_p/logprobs are unsupported. Long prompts above 272K increase the full-request rate. GPT-6.1 Sol has lower base token prices; compare results on your own workload.

History

GPT-6 Astra timeline

Release and status events for this model that passed two-source verification — dated, sourced, and linked.

  • GPT-6 AstraReleaseSeptember 3, 2026

    OpenAI launches GPT-6 Astra, its most capable model and the first gated at the Preparedness Framework's 'Critical' cybersecurity threshold — $10/$50 per MTok (≤272K input) with a 1.05M-token context. It debuted at 61.2 on the Artificial Analysis index (v4.1.1; 53, publisher-rounded, on the rebased v4.3.2) and reported 74.1% on DeepSWE 1.1, which Datacurve's board confirms at rank 1.

    OpenAI — Introducing GPT-6 Astra

Common questions

GPT-6 Astra

Answered from the verified figures on this page rather than general guidance.

How much does GPT-6 Astra cost per million tokens?
GPT-6 Astra lists base rates of $10 per million input tokens and $50 per million output tokens. Estimate both input and output token volume and any additional charges for your workload. Standard $10/$50 per MTok (≤272K input); above 272K the full request bills $20/$75. Cached input $1/$2 and cache writes $12.50/$25 for short/long context. Batch/Flex are half Standard; Fast is 2x. Ultrafast is 6x: $60/$300 short, $120/$450 long, through Responses with global/US processing; no EU or other regional inference residency. Regional/FedRAMP processing adds 10% where eligible. Knowledge cutoff Apr 30 2026. Enterprise model access is disabled by default.
What is GPT-6 Astra's context window?
GPT-6 Astra accepts about 1.05M tokens of context. That only matters if you routinely send very long documents, large codebases, or multi-turn histories that approach that limit.
What is GPT-6 Astra best for?
GPT-6 Astra is a frontier tier from OpenAI. It suits computer-use agents, agentic coding, hard reasoning. OpenAI places Astra at its Critical cybersecurity threshold and disables it by default for Enterprise. Tool calling requires Responses; none reasoning and custom temperature/top_p/logprobs are unsupported. Long prompts above 272K increase the full-request rate. GPT-6.1 Sol has lower base token prices; compare results on your own workload.