OpenAI
GPT-6 Astra
OpenAI frontier flagship with Critical-tier autonomous cybersecurity, extreme token efficiency, and 72.6% on OSWorld 2.0.
智商指数
86.2 #39
AAQI 61.0
输出速度
82 t/s
TTFT 143 ms · ITL 12.2 ms/tok
混合价格 (3:1)
$20 /1M
输入 $10/M · 输出 $50/M
上下文
1.1M
≈ 2,750 页 A4 · 最大输出 131,072
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
GPT-6 Astra
Claude Mythos Preview (#1)
Average (68)
缺少直接基准测量时,雷达图各轴由类别得分近似得出 — 详见 评分方法。
优势与取舍
优势所在
- 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
需要注意的权衡
- $10/$50 premium pricing tier
- Higher effort levels multiply latency and token spend
- Closed weights — no self-hosting
杀手级用例
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.
开发者快速上手与 API
请先设置
OPENAI_API_KEY — 获取 API 密钥curl 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);官方资源与链接
API 部署
对比托管商与延迟
Groq、Cerebras、Together、DeepInfra、Fireworks、Bedrock 与 Azure 的吞吐量、TTFT 和缓存定价。
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
各榜单得分
分类能力得分
基准测试分项
实时规格与架构
底层解析
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
发布日期
2026年9月3日
架构
GPT-6 Astra — undisclosed transformer
参数量
Not disclosed
开源协议
Proprietary
上下文窗口
1,100,000 tokens
最大输出
131,072 tokens
模态
text + image
缓存价格
读 $1 · 写 $12.5 /1M
推理
思考力度档位
输入价格
$10/M
输出价格
$50/M
输出速度
82 t/s
首Token延迟
143 ms
数据更新
2026年9月4日
每月账单预估
每月预估支出
$0.00
正在计算相对 GPT-4o 的节省额…
引用与嵌入
GitHub Markdown 徽章
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}
}嵌入评分徽章
将实时 Podium 评分徽章添加到 GitHub 或 Hugging Face README —— 链接回实时排名。
预览
Markdown
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