OpenAI GPT 6 Astra: AI Large Language Models

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

📝

Aperçu

À propos de ce modèle

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.
💰

Prix ​​et valeur

Analyse des coûts

muapiapp$10.00/M input, $50.00/M output

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

Fal.aiNon disponible

No dedicated GPT 6 Astra endpoint at this time.

ReplicateNon disponible

No dedicated GPT 6 Astra endpoint at this time.

** Les prix des concurrents sont estimés sur la base d'architectures de modèles et de niveaux d'utilisation similaires.

⚙️

Détails techniques

Schéma de configuration

invitestring

.

Valeur par défautSummarize this article in three bullet points.
URL de l'imagestring

Image de l'URL.

Valeur par défautundefined
Invite systèmestring

, .

Valeur par défautYou are an expert tutor.
Changement de recherche sur le Webboolean

.

Valeur par défautfalse
Effort de raisonnementÉnumération (options 4)

: bas, moyen, haut xhaut.

Valeur par défautlow
📖

Guide de mise en œuvre

Documentation du développeur

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"
  }'

Questions courantes

Foire aux questions

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.