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OpenAI GPT 6.1 Terra API — Visual Reasoning & Writing: AI Large Language Models

Use GPT 6.1 Terra through Muapi for visual reasoning, coding, and writing. Text and image inputs, six reasoning levels, web search, and SSE streaming.

Interaktive Steuerung laden

GPT 6.1 Terra provides efficient visual reasoning, image analysis, coding, and clear writing. Supports text and image input, optional web search, and reasoning effort from none to max. Standard pricing: $1.00/M input, $0.05/M cached input, $5.00/M output. Long-context rates apply above 272K input tokens.

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Übersicht

Über dieses Modell

GPT 6.1 Terra is OpenAI's efficient model for visual reasoning and natural writing. Use Muapi's prompt-based API for image-grounded analysis, document drafting, coding assistance, and extraction tasks. It accepts a text prompt, optional image_url and system_prompt, six reasoning levels, and optional web search. Submit a prediction and poll for the result, or read text as an SSE stream. Standard token pricing is $1.00/M uncached input, $0.05/M cached input, and $5.00/M output, with a $0.0002 minimum. Prompts above 272,000 input tokens use 2x input/cache rates and 1.5x output rates.

1Visual Review: Interpret product images, screenshots, charts, and technical drawings.
2Writing: Draft proposals, reports, summaries, and customer communications.
3Coding: Explain code, diagnose bugs, and propose changes.
4Research: Enable web_search_switch when current information is needed.
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Preise und Wert

Kostenanalyse

muapiapp$1.00/M input, $0.05/M cached input, $5.00/M output

Minimum $0.0002 per call. Above 272K input: 2x input/cache rates and 1.5x output rates. Cache writes $1.25/M at standard context.

** Die Preise der Mitbewerber werden auf der Grundlage ähnlicher Modellarchitekturen und Nutzungsstufen geschätzt.

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Technische Details

Konfigurationsschema

Aufforderungstring

.

StandardwertSummarize this article in three bullet points.
Bild-URLstring

URL-Bild.

Standardwertundefined
Systemaufforderungstring

, .

StandardwertYou are an expert tutor.
Web-Suchschalterboolean

.

Standardwertfalse
ArgumentationsaufwandEnum (6 Optionen)

Reasoning depth: none, low, medium, high, xhigh, or max. Defaults to medium.

Standardwertmedium
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Implementierungsleitfaden

Entwicklerdokumentation

Submit a prediction

POST /api/v1/gpt-6-1-terra with a required prompt. Add image_url for visual analysis and system_prompt to guide tone or behavior. reasoning_effort accepts none, low, medium (default), high, xhigh, or max. Set web_search_switch to true for web search.

curl -X POST "https://api.muapi.ai/api/v1/gpt-6-1-terra" \
  -H "x-api-key: $MUAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"Draft a concise proposal for automating invoice review.","reasoning_effort":"medium"}'

Poll /api/v1/predictions/{request_id}/result using the returned request_id. An optional webhook_url receives the result for polling requests.

Streaming

POST the same prompt fields to /api/v1/gpt-6-1-terra/stream. Read data: {"choices":[{"delta":{"content":"..."}}]} chunks until data: [DONE]. Streaming does not deliver webhooks.

These are single-turn text-generation endpoints. They do not expose raw Responses input items, custom function tools, file inputs, or structured-output schemas.

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Häufige Fragen

Häufig gefragt

How much does GPT 6.1 Terra cost?

Standard rates are $1.00/M uncached input, $0.05/M cached input, and $5.00/M output, with a $0.0002 minimum per request. Cache-write tokens, when reported, cost $1.25/M. Above 272,000 input tokens, input and cache rates double and output costs $7.50/M.

Which reasoning levels are supported?

Use reasoning_effort: none, low, medium, high, xhigh, or max. The default is medium. More reasoning can increase latency and output token usage.

Can Terra analyze images?

Yes. Send image_url alongside prompt. The endpoint generates text; it does not generate images.

Can I stream responses?

Yes. POST /api/v1/gpt-6-1-terra/stream for live text deltas over SSE. The standard endpoint returns a request_id to poll.

Can Terra search the web?

Set web_search_switch to true to enable web search. Custom function calling, raw Responses items, and structured-output schemas are not exposed by these prompt-based endpoints.

What is the context window?

The model supports a 1,050,000-token context window, including up to 922,000 input tokens and 128,000 output tokens. The prompt API does not expose an output-token limit control.