OpenAI

GPT-6 Astra

OpenAI frontier flagship with Critical-tier autonomous cybersecurity, extreme token efficiency, and 72.6% on OSWorld 2.0.

#39发布于 2026年9月3日·Proprietary·Not disclosed
textimage1.1M ctx推理
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)
Coding (67.2)Mathematics (97.6)Hard Science (GPQA) (96)Agentic & Tool Use (72.6)Knowledge (MMLU) (31.5)Vision / Multimodal (98.2)

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."
  }'

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
查看提供商矩阵 →

各榜单得分

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
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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
GPT-6 Astra LLMPodium Score
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