OpenAI GPT 6 Astra: AI 大语言模型

Reason through complex text, image, and file inputs with OpenAI's GPT 6 Astra. Adjustable reasoning depth and web search. No subscription.

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概览

关于此模型

GPT 6 Astra is OpenAI's advanced multimodal reasoning model, built for tasks that mix text, image, and file inputs in a single conversation. It supports adjustable reasoning effort so you can trade latency for deeper multi-step logic, and can optionally call an integrated web search tool for real-time, up-to-date answers. Astra is well suited to complex analysis, coding, and research assistant workloads that need more careful reasoning than lighter chat models like GPT 5.6 Luna can reliably provide.

1Research & Analysis: Work through multi-step questions that mix text, images, and reference files in one request.
2Coding Assistance: Debug, refactor, and explain code with deeper reasoning for tricky logic errors.
3Real-Time Q&A: Enable web_search_switch to answer questions that require current, post-training information.
4Document Review: Summarize and analyze uploaded images or files alongside a written prompt.
5Agentic Workflows: Drive multi-turn tool-using agents that need strong reasoning and reliable instruction-following.
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价格与价值

成本分析

muapiapp$10.00/M 输入, $50.00/M 输出

Token-based billing, matching OpenAI's own published rate. Minimum $0.0008 per call.

Fal.ai暂不可用

No dedicated GPT 6 Astra endpoint at this time.

Replicate暂不可用

No dedicated GPT 6 Astra endpoint at this time.

** 竞品价格根据相似模型架构和使用层级估算。

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技术详情

配置参数

提示词string

用户消息或指令。

默认值Summarize this article in three bullet points.
图像 URLstring

多模态请求的可选图像 URL。

默认值undefined
系统提示词string

可选的系统级指令,用于引导模型行为。

默认值You are an expert tutor.
网页搜索开关boolean

启用网页搜索工具以获取实时信息。

默认值false
推理强度枚举(4 个选项)

推理深度级别:low、medium、high 或 xhigh。

默认值low
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实施指南

开发者文档

Standard (Async)

POST /api/v1/gpt-6-astra — returns a request_id; poll for the result via /api/v1/predictions/{id}/result.

Streaming (SSE)

POST /api/v1/gpt-6-astra/stream — returns a live Server-Sent Events stream (Content-Type: text/event-stream). Each chunk has the format data: {"choices":[{"delta":{"content":"text"}}]}, ending with data: [DONE].

cURL Example

curl -X POST "https://api.muapi.ai/api/v1/gpt-6-astra" \
  -H "Authorization: Bearer $YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Walk through the tradeoffs of eventual consistency in a distributed database.",
    "reasoning_effort": "high"
  }'

常见问题

常见问答

What is GPT 6 Astra best used for?

Astra is OpenAI's advanced reasoning model, built for complex analysis, coding, and research tasks that need careful multi-step logic rather than quick, shallow responses.

How is pricing calculated for GPT 6 Astra?

Pricing is token-based at $10.00 per million input tokens and $50.00 per million output tokens, with a minimum charge of $0.0008 per call.

Does GPT 6 Astra support multimodal inputs?

Yes, Astra accepts mixed text and image (image_url) inputs in a single message, alongside an optional system_prompt.

What is reasoning effort control?

Pass a reasoning_effort value of 'low', 'medium', 'high', or 'xhigh' to control how much internal reasoning the model performs before responding. Higher levels improve accuracy on hard problems but increase latency and output token usage.

Can GPT 6 Astra search the web?

Yes, set web_search_switch to true to let the model call an integrated web search tool for real-time information. Web search and custom function calling are mutually exclusive per request.

How do I choose between async and streaming endpoints?

Use the streaming endpoint (/gpt-6-astra/stream) for interactive chat interfaces where the user expects real-time token-by-token feedback. Use the async endpoint (/gpt-6-astra) for background tasks, workflows, and automated scripts.