GPT 6 Astra
Submit a prompt (with an optional reference image and system prompt) and get back a request ID, then poll the shared result endpoint for the completed response.
The GPT 6 Astra API gives you programmatic access to OpenAI's GPT 6 Astra model for multimodal reasoning over text and images, with an adjustable reasoning-effort dial and an optional web-search tool, through one Muapi API key, at OpenAI's own published rate of $10.00 per million input tokens and $50.00 per million output tokens.
Submit a prompt (with an optional reference image and system prompt) and get back a request ID, then poll the shared result endpoint for the completed response.
Near-Astra agentic coding, computer use, and professional work at one-fifth of Astra's price, with reasoning effort, image input, and web search. Submit a prompt and poll the shared result endpoint.
Use GPT 6 Sol for advanced coding, focused reasoning, and agent workflows. Submit a prompt and optional system prompt, then poll the shared result endpoint.
Use GPT 6 Luna for fast, high-volume text generation and focused reasoning. Submit a prompt and optional system prompt, then poll the shared result endpoint.
The GPT 6 Astra API gives applications programmatic access to OpenAI's GPT 6 Astra model. Submit a prompt — optionally alongside a reference image and a system prompt to steer tone and behavior — and get back a text response. Turn on web_search_switch when the answer needs current information the model wasn't trained on, and dial reasoning_effort from low to xhigh to trade latency for deeper multi-step reasoning on hard problems.
Muapi exposes GPT 6 Astra through an asynchronous REST endpoint. Submit a request with one Muapi API key, receive a request ID, poll the shared result endpoint, and retrieve the completed text response. Compare it against every other text model in the playground.
Pass an optional image_url alongside your prompt so GPT 6 Astra can reason about what's in the picture, not just the text.
Choose low, medium, high, or xhigh to trade response latency for deeper step-by-step reasoning on harder problems.
Set web_search_switch to true to let the model pull in current information instead of relying only on its training data.
Set a system_prompt to steer tone, persona, or output format across a request.
Submit a request, poll the shared result endpoint, and retrieve the completed text response.
Billed at $10.00 per million input tokens and $50.00 per million output tokens, OpenAI's own published rate, with a $0.0008 minimum per call.
| Endpoint | Input | Output | Price | Best For |
|---|---|---|---|---|
| gpt-6-astra | Prompt + optional image_url, system_prompt | Complete text response (poll for result) | $10.00/M in · $50.00/M out | Batch jobs, backend pipelines, one-shot completions |
| gpt-6-1-sol | Prompt + optional image_url, system_prompt | Complete text response (poll for result) | $2.00/M in · $10.00/M out | Agentic coding and computer use at one-fifth of Astra's price |
Minimum $0.0008 per call. Turning on web_search_switch or a higher reasoning_effort increases output tokens and therefore cost.
Submit a JSON request with your Muapi API key, save the request ID, and poll the shared result endpoint for the completed response.
curl -X POST https://api.muapi.ai/api/v1/gpt-6-astra \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Summarize the tradeoffs between batch and interactive AI APIs","system_prompt":"You are a precise technical writer.","web_search_switch":false,"reasoning_effort":"medium"}'
# Response: {"request_id":"REQUEST_ID"}Call gpt-6-astra with a prompt, and optionally a system_prompt, image_url, web_search_switch, and reasoning_effort.
curl https://api.muapi.ai/api/v1/predictions/REQUEST_ID/result \ -H "x-api-key: YOUR_API_KEY" # Poll until status is completed, then read the generated text from outputs.
Poll until the task is completed, then read the generated text from outputs.
curl -X POST https://api.muapi.ai/api/v1/gpt-6-1-sol \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Trace why this test is flaky and propose a fix.","reasoning_effort":"high"}'
# Response: {"request_id":"REQUEST_ID"}Same request shape on the cheaper GPT 6.1 Sol tier, with reasoning_effort and optional web search. Poll the same result endpoint.
GPT 6.1 Sol sits between GPT 6 Astra and GPT 6 Luna: near-Astra performance in agentic coding, computer use, and professional work at $2.00/M input and $10.00/M output tokens — one-fifth of Astra's price. Call it at gpt-6-1-sol.
GPT 6 Astra is OpenAI's multimodal reasoning LLM. Muapi exposes it as a standard REST API, so any application can call it with an API key instead of an OpenAI account.
Yes. Pass an image_url alongside your prompt and the model will reason about both the text and the image together.
It's an enum — low, medium, high, or xhigh — that trades response latency for deeper multi-step reasoning. The default is low; raise it for harder problems that need more careful reasoning.
When set to true, the model can pull in current information from the web instead of answering only from its training data. It's false by default.
$10.00 per million input tokens and $50.00 per million output tokens, with a $0.0008 minimum per call — the same rate OpenAI publishes directly, not a marked-up resale price.
No. Muapi exposes GPT 6 Astra as a standard asynchronous REST API. Create a Muapi API key, submit JSON, and poll the returned request ID for the completed response.
Create one Muapi API key and connect multimodal reasoning to your product through an asynchronous REST call.