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.

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Overview

About this model

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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Pricing & Value

Cost analysis

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.aiไม่พร้อมใช้งาน

No dedicated GPT 6 Astra endpoint at this time.

Replicateไม่พร้อมใช้งาน

No dedicated GPT 6 Astra endpoint at this time.

** Competitor pricing is estimated based on similar model architectures and usage tiers.

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Technical Details

Configuration schema

พรอมต์ (Prompt)string

The user message or instruction.

Default ValueSummarize this article in three bullet points.
URL รูปภาพstring

Optional image URL for multimodal requests.

Default Valueundefined
System Promptstring

Optional system-level instruction to guide model behavior.

Default ValueYou are an expert tutor.
Web Search Switchboolean

Enable web search tool for real-time information retrieval.

Default Valuefalse
Reasoning EffortEnum (4 options)

Level of reasoning depth: low, medium, high, or xhigh.

Default Valuelow
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Implementation Guide

Developer documentation

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"
  }'

Common Questions

Frequently asked

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.