OpenAI
GPT-6 Astra
OpenAI frontier flagship with Critical-tier autonomous cybersecurity, extreme token efficiency, and 72.6% on OSWorld 2.0.
Intelligence
86.2 #39
AAQI 61.0
Output Speed
82 t/s
TTFT 143 ms · ITL 12.2 ms/tok
Blended price (3:1)
$20 /1M
In $10/M · Out $50/M
Context
1.1M
≈ 2,750 A4 pages · max out 131,072
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
GPT-6 Astra
Claude Mythos Preview (#1)
Average (68)
Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.
Strengths & Trade-offs
Where it wins
- 72.6% OSWorld 2.0 — best-in-class computer use
- Flagship agentic + reasoning scores across the board
- 131K output tokens — rewrites entire files in one pass
- Strong tool-use reliability on terminal workflows
Trade-offs to watch
- $10/$50 premium pricing tier
- Higher effort levels multiply latency and token spend
- Closed weights — no self-hosting
Killer Use Cases
OSWorld computer-use agents
Desktop-level control — clicks, typing and app workflows at a benchmark-leading 72.6%.
Terminal-Bench autonomous ops
Long shell sessions: builds, tests, fixes, deploys.
Large-repo refactoring
131K output window handles whole-file and multi-file rewrites.
Developer Quickstart & API
Set
OPENAI_API_KEY first — get an API keycurl https://api.openai.com/v1/responses \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "gpt-6-astra",
"input": "Refactor this function for O(n) time and explain the change."
}'from openai import OpenAI
client = OpenAI() # reads OPENAI_API_KEY
resp = client.responses.create(
model="gpt-6-astra",
input="Refactor this function for O(n) time and explain the change.",
)
print(resp.output_text)const res = await fetch("https://api.openai.com/v1/responses", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.OPENAI_API_KEY}`,
"content-type": "application/json",
},
body: JSON.stringify({ model: "gpt-6-astra", input: "Refactor this function for O(n) time and explain the change." }),
});
console.log((await res.json()).output_text);Official Resources & Links
API deployment
Compare hosts & latency
Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Scores by Source
Category Scores
Benchmark Results
Head-to-head Live Matchups
Live Specs & Architecture
Under the hood
GPT-6 Astra — undisclosed transformer
- Reasoning effort levels: low / medium / high / xhigh — one weight set, four budgets
- Critical-tier autonomous cybersecurity designation
- 1.1M context with a 131K max output window
- Extreme token efficiency on long agent runs
Release date
Sep 3, 2026
Architecture
GPT-6 Astra — undisclosed transformer
Parameters
Not disclosed
License
Proprietary
Context Window
1,100,000 tokens
Max Output
131,072 tokens
Modalities
text + image
Cache Pricing
read $1 · write $12.5 /1M
Reasoning
Effort levels
Input Price
$10/M
Output Price
$50/M
Output Speed
82 t/s
Time to First Token
143 ms
Data Updated
Sep 4, 2026
Estimated monthly bill
Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...
Cite & embed
GitHub Markdown badge
Loading badge markdown...BibTeX
@misc{llmpodium2026gpt6astra,
title = {Benchmark Analysis and Intelligence Evaluation of GPT-6 Astra},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/gpt-6-astra}
}Embed Score Badge
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