Reason through complex text, image, and file inputs with OpenAI's GPT 6 Astra. Adjustable reasoning depth and web search. No subscription.
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.
コスト分析
| プロバイダー | 費用 | 備考 |
|---|---|---|
| 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. |
Token-based billing, matching OpenAI's own published rate. Minimum $0.0008 per call.
No dedicated GPT 6 Astra endpoint at this time.
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。
設定スキーマ
| パラメータ | 型 | 説明 | デフォルト |
|---|---|---|---|
| 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.)。 | Summarize this article in three bullet points. |
| 画像 URL | string | 処理の開始点となる入力元画像のURLまたはBase64データ。 | 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)。 | You are an expert tutor. |
| Web Search Switch | boolean | 出力ファイルの保存形式(例:mp4、png、jpg、webpなど)。 | false |
| Reasoning Effort | Enum(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)。 | low |
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.)。
Summarize this article in three bullet points.処理の開始点となる入力元画像のURLまたはBase64データ。
undefined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)。
You are an expert tutor.出力ファイルの保存形式(例:mp4、png、jpg、webpなど)。
false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)。
low開発者ドキュメント
POST /api/v1/gpt-6-astra — returns a request_id; poll for the result via /api/v1/predictions/{id}/result.
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 -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"
}'
FAQ
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.
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.
Yes, Astra accepts mixed text and image (image_url) inputs in a single message, alongside an optional system_prompt.
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.
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.
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.