Reason through complex text, image, and file inputs with OpenAI's GPT 6 Astra. Adjustable reasoning depth and web search. No subscription.
이 모델 정보
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.
비용 분석
| 공급자 | 비용 | 메모 |
|---|---|---|
| muapiapp | $10.00/M input, $50.00/M output | Token-based billing, matching OpenAI's own published rate. Minimum $0.0008 per call. |
| Fal.ai | 제공되지 않음 | No dedicated GPT 6 Astra endpoint at this time. |
| Replicate | 제공되지 않음 | 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.
** 경쟁업체 가격은 유사한 모델 아키텍처 및 사용 계층을 기준으로 추정됩니다.
구성 스키마
| 매개변수 | 유형 | 설명 | 기본값 |
|---|---|---|---|
| 프롬프트 | string | . | Summarize this article in three bullet points. |
| 이미지 URL | string | URL 이미지. | undefined |
| 시스템 프롬프트 | string | , . | You are an expert tutor. |
| 웹 검색 스위치 | boolean | . | false |
| 추론 노력 | 열거형(4 옵션) | : 낮음, 중간, 높음 x높음. | low |
.
Summarize this article in three bullet points.URL 이미지.
undefined, .
You are an expert tutor..
false: 낮음, 중간, 높음 x높음.
low개발자 문서
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"
}'
자주 묻는 질문
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.