OpenAI

GPT-6 Astra

Tool callingStructured outputReasoningImage inputFile input

GPT-6 Astra is OpenAI's most capable model for complex reasoning, coding, computer use, research, and document creation.

Context
1.1M
Released
1mo ago
Input / 1M tokens
$10.00
Output / 1M tokens
$50.00
Cached input / 1M tokens
$1.00
Cache write / 1M tokens
$12.50

Sources:models.devOpenRouter

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

DeepSWE 1.1

Primary coding-agent benchmark · 113 tasks · Data generated 2026-09-22

Official leaderboard
74.1%
pass@1 · highest published configuration
mini-swe-agent · xhigh reasoning
pass@4
80.5%
Average cost / attempt
$4.43
Benchmark runs
4

All published configurations

Harness / reasoningpass@1pass@4Cost / attempt
mini-swe-agent · xhigh74.1%80.5%$4.43
mini-swe-agent · high73.2%82.3%$3.92
mini-swe-agent · max73.2%79.6%$7.50
mini-swe-agent · medium72.8%82.3%$3.08
mini-swe-agent · low67.0%79.6%$1.60

pass@1 is the success rate across scored attempts; pass@4 is the share of tasks solved in at least one of four attempts. Costs are reported by DeepSWE for each configuration. These results are not directly comparable to evaluations using different harnesses. Official source JSON.

Other published benchmarks

EvaluationReported score and source
ARC-AGI-2
92.1%
Third-party evaluator · gpt-6-astra_high
Reasoning effort: high
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
85.4%
Third-party evaluator · gpt-6-astra_low
Reasoning effort: low
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
95.0%
Third-party evaluator · gpt-6-astra_max
Reasoning effort: max
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
92.1%
Third-party evaluator · gpt-6-astra_medium
Reasoning effort: medium
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
59.6%
Third-party evaluator · gpt-6-astra_none
Reasoning effort: none
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
93.3%
Third-party evaluator · gpt-6-astra_xhigh
Reasoning effort: xhigh
External evaluation via Epoch AI
Original-source terms apply
FrontierMath-Tier-4-v2-Private
97.6%
Epoch AI · gpt-6-astra_high
Reasoning effort: high
Epoch AI evaluation
FrontierMath-Tier-4-v2-Private
87.8%
Epoch AI · gpt-6-astra_low
Reasoning effort: low
Epoch AI evaluation
FrontierMath-Tier-4-v2-Private
97.6%
Epoch AI · gpt-6-astra_max
Reasoning effort: max
Epoch AI evaluation
FrontierMath-Tier-4-v2-Private
97.6%
Epoch AI · gpt-6-astra_medium
Reasoning effort: medium
Epoch AI evaluation
FrontierMath-Tier-4-v2-Private
82.9%
Epoch AI · gpt-6-astra_none
Reasoning effort: none
Epoch AI evaluation
FrontierMath-Tier-4-v2-Private
97.6%
Epoch AI · gpt-6-astra_xhigh
Reasoning effort: xhigh
Epoch AI evaluation
FrontierMath-Tiers-1-3-v2-Private
93.7%
Epoch AI · gpt-6-astra_max
Reasoning effort: max
Epoch AI evaluation
GPQA diamond
95.8%
Epoch AI · gpt-6-astra_max
Reasoning effort: max
Epoch AI evaluation
OTIS Mock AIME 2024-2025
100.0%
Epoch AI · gpt-6-astra_max
Reasoning effort: max
Epoch AI evaluation
SimpleQA Verified
75.6%
Epoch AI · gpt-6-astra_max
Reasoning effort: max
Epoch AI evaluation

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Specifications

Developer
OpenAI
Model family
GPT
Type
Language model
Predecessor
—
Successor
—
Released
September 4, 2026
Model ID
openai/gpt-6-astra
Openness
Closed
License
—
Input modalities
file, image, text
Output modalities
text
Modality
text+image+file->text
Tokenizer
GPT
Max output tokens
128K
Knowledge cutoff
2026-04-30
Hugging Face
—
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
Source model
openai/gpt-6-astra
Source family
gpt-astra
Last updated
2026-09-04
Knowledge cutoff
2026-04-30
Model context
1.1M
Maximum input
922K
Model output limit
128K
Open weights
No
File attachments
Yes
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature control
No

Published benchmarks

BenchmarkScoreEvaluation detailsEvidence
Agents' Last Exam59.32026-09-03Source
OSWorld72.6 · partial scoreV2-Offline (v2026.08.08) · 2.0 · 2026-09-03Source
ScreenSpot-Pro92.7 · accuracyno tools · 2026-09-03Source
AutomationBench41.4 · success rate2026-09-03Source
BenchCAD95.9 · geometric overlapwith tools · 2026-09-03Source
BrowseComp91.5 · accuracy2026-09-03Source
Terminal-Bench57.9 · success rate4.0 · 2026-09-03Source
DeepSWE74.1 · resolve rate1.1 · 2026-09-03Source
FrontierCode64.5 · scoreExtended · 1.1 · 2026-09-03Source
Terminal-Bench Science64.6 · success rate0.1 · 2026-09-03Source
FrontierMath97.6 · accuracyTier 4 · v2 · 2026-09-03Source
GPQA Diamond96 · accuracy2026-09-03Source
Humanity's Last Exam57.2 · accuracywith tools · 2026-09-03Source
ExploitBench100 · success ratewithout production safeguards · 2026-09-03Source
SRE-Bench88 · success ratesingle attempt · 2026-09-03Source
ARC-AGI-399.9 · RHAEResponses API · 2026-09-03Source
Artificial Analysis Intelligence Index61 · index scoremax · 4.1.1 · 2026-09-03Source
Artificial Analysis Coding Agent Index67 · index scoreCodex · max · 1.4 · 2026-09-03Source
Complete source record (JSON)
{
  "id": "openai/gpt-6-astra",
  "name": "GPT-6 Astra",
  "description": "GPT-6 Astra is OpenAI's most capable model for complex reasoning, coding, computer use, research, and document creation.",
  "family": "gpt-astra",
  "last_updated": "2026-09-04",
  "knowledge": "2026-04-30",
  "attachment": true,
  "reasoning": true,
  "tool_call": true,
  "structured_output": true,
  "temperature": false,
  "modalities": {
    "input": [
      "text",
      "image",
      "pdf"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 1050000,
    "input": 922000,
    "output": 128000
  },
  "benchmarks": [
    {
      "name": "Agents' Last Exam",
      "score": 59.3,
      "source": "https://openai.com/index/gpt-6-astra/",
      "date": "2026-09-03"
    },
    {
      "name": "OSWorld",
      "score": 72.6,
      "source": "https://openai.com/index/gpt-6-astra/",
      "metric": "partial score",
      "dataset": "V2-Offline (v2026.08.08)",
      "version": "2.0",
      "date": "2026-09-03"
    },
    {
      "name": "ScreenSpot-Pro",
      "score": 92.7,
      "source": "https://openai.com/index/gpt-6-astra/",
      "metric": "accuracy",
      "variant": "no tools",
      "date": "2026-09-03"
    },
    {
      "name": "AutomationBench",
      "score": 41.4,
      "source": "https://openai.com/index/gpt-6-astra/",
      "metric": "success rate",
      "date": "2026-09-03"
    },
    {
      "name": "BenchCAD",
      "score": 95.9,
      "source": "https://openai.com/index/gpt-6-astra/",
      "metric": "geometric overlap",
      "variant": "with tools",
      "date": "2026-09-03"
    },
    {
      "name": "BrowseComp",
      "score": 91.5,
      "source": "https://openai.com/index/gpt-6-astra/",
      "metric": "accuracy",
      "date": "2026-09-03"
    },
    {
      "name": "Terminal-Bench",
      "score": 57.9,
      "source": "https://openai.com/index/gpt-6-astra/",
      "metric": "success rate",
      "version": "4.0",
      "date": "2026-09-03"
    },
    {
      "name": "DeepSWE",
      "score": 74.1,
      "source": "https://openai.com/index/gpt-6-astra/",
      "metric": "resolve rate",
      "version": "1.1",
      "date": "2026-09-03"
    },
    {
      "name": "FrontierCode",
      "score": 64.5,
      "source": "https://openai.com/index/gpt-6-astra/",
      "metric": "score",
      "dataset": "Extended",
      "version": "1.1",
      "date": "2026-09-03"
    },
    {
      "name": "Terminal-Bench Science",
      "score": 64.6,
      "source": "https://openai.com/index/gpt-6-astra/",
      "metric": "success rate",
      "version": "0.1",
      "date": "2026-09-03"
    },
    {
      "name": "FrontierMath",
      "score": 97.6,
      "source": "https://openai.com/index/gpt-6-astra/",
      "metric": "accuracy",
      "dataset": "Tier 4",
      "version": "v2",
      "date": "2026-09-03"
    },
    {
      "name": "GPQA Diamond",
      "score": 96,
      "source": "https://openai.com/index/gpt-6-astra/",
      "metric": "accuracy",
      "date": "2026-09-03"
    },
    {
      "name": "Humanity's Last Exam",
      "score": 57.2,
      "source": "https://openai.com/index/gpt-6-astra/",
      "metric": "accuracy",
      "variant": "with tools",
      "date": "2026-09-03"
    },
    {
      "name": "ExploitBench",
      "score": 100,
      "source": "https://openai.com/index/gpt-6-astra/",
      "metric": "success rate",
      "variant": "without production safeguards",
      "date": "2026-09-03"
    },
    {
      "name": "SRE-Bench",
      "score": 88,
      "source": "https://openai.com/index/gpt-6-astra/",
      "metric": "success rate",
      "variant": "single attempt",
      "date": "2026-09-03"
    },
    {
      "name": "ARC-AGI-3",
      "score": 99.9,
      "source": "https://openai.com/index/gpt-6-astra/",
      "metric": "RHAE",
      "harness": "Responses API",
      "date": "2026-09-03"
    },
    {
      "name": "Artificial Analysis Intelligence Index",
      "score": 61,
      "source": "https://artificialanalysis.ai/articles/benchmarking-gpt-6-astra",
      "metric": "index score",
      "variant": "max",
      "version": "4.1.1",
      "date": "2026-09-03"
    },
    {
      "name": "Artificial Analysis Coding Agent Index",
      "score": 67,
      "source": "https://artificialanalysis.ai/articles/benchmarking-gpt-6-astra",
      "metric": "index score",
      "harness": "Codex",
      "variant": "max",
      "version": "1.4",
      "date": "2026-09-03"
    }
  ],
  "release_date": "2026-09-04",
  "open_weights": false
}

Infrastructure

Provider availability

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
OpenAIopenai/flex1.1M$5.00$25.00$0.50$6.2599.91%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenai/flexBatch pricing1.1M$5.00$25.00$0.50$6.2599.93%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure1.1M$10.00$50.00$1.00$12.5095.14%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

AzureazureBatch pricing1.1M$10.00$50.00$1.00$12.5095.16%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenai1.1M$10.00$50.00$1.00$12.50100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenaiBatch pricing1.1M$10.00$50.00$1.00$12.50100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrock/us-west-21.1M$11.00$55.00$1.10$13.75—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrock/us-west-2Batch pricing1.1M$11.00$55.00$1.10$13.75—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure/us1.1M$11.00$55.00$1.10$13.75100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure/usBatch pricing1.1M$11.00$55.00$1.10$13.75100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenai/fast1.1M$20.00$100.00$2.00$25.00100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenai/fastBatch pricing1.1M$20.00$100.00$2.00$25.00100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenai/ultrafast1.1M$60.00$300.00$6.00$75.00100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenai/ultrafastBatch pricing1.1M$60.00$300.00$6.00$75.00100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Text provenance

EU · product-scoped

OpenAI textGrain watermarking

In the EU, ChatGPT-generated text uses textGrain. OpenAI says API customers can opt in globally for select models, so watermarking depends on the product surface and configuration.

Official explanation