OpenAI GPT 6 Astra: AI大規模言語モデル

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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概要

このモデルについて

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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料金と価値

コスト分析

muapiapp$10.00/M 入力, $50.00/M 出力

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

Fal.ai利用不可

No dedicated GPT 6 Astra endpoint at this time.

Replicate利用不可

No dedicated GPT 6 Astra endpoint at this time.

** 競合サービスの料金は類似のモデル構成および利用ティアに基づいて算出された推定値です。

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技術詳細

設定スキーマ

プロンプトstring

生成プロセスを適切に制御するためのパラメータ設定(The user message or instruction.)。

デフォルト値Summarize this article in three bullet points.
画像 URLstring

処理の開始点となる入力元画像のURLまたはBase64データ。

デフォルト値undefined
System プロンプトstring

生成プロセスを適切に制御するためのパラメータ設定(Optional system-level instruction to guide model b)。

デフォルト値You are an expert tutor.
Web Search Switchboolean

出力ファイルの保存形式(例:mp4、png、jpg、webpなど)。

デフォルト値false
Reasoning EffortEnum(4個の選択肢)

生成プロセスを適切に制御するためのパラメータ設定(Level of reasoning depth: low, medium, high, or xh)。

デフォルト値low
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実装ガイド

開発者ドキュメント

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"
  }'

よくある質問

FAQ

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.