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OpenAI GPT 5.6 Terra: AI Large Language Models

Generate text with OpenAI's GPT 5.6 Terra. Balanced multimodal reasoning for business and analytical tasks. No subscription. GPT 5.6 Terra is OpenAI's balanced multimodal reasoning model for general business and analytical tasks. Supports mixed text and image inputs, adjustable reasoning effort, and integrated web search tools. Pricing: $5.00/M input tokens, $30.00/M output tokens.

Interactive model controls

GPT 5.6 Terra is OpenAI's balanced multimodal reasoning model for general business and analytical tasks. Supports mixed text and image inputs, adjustable reasoning effort, and integrated web search tools. Pricing: $5.00/M input tokens, $30.00/M output tokens.

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Overview

About this model

GPT 5.6 Terra is the balanced member of OpenAI's GPT 5.6 multimodal reasoning family, built for general business, analytical, and writing tasks. It accepts mixed text and image inputs, supports a system prompt to steer behavior, and can call an integrated web search tool for real-time information. Reasoning depth is adjustable via the reasoning_effort parameter, so you can dial in more thorough logic when a task needs it. Terra sits between the speed-optimized Luna and the reasoning flagship Sol, making it the default choice for everyday business intelligence work.

1Balanced Business Intelligence: Perform general business, analytical, and writing tasks cost-effectively.
2Document Drafting: Write emails, proposals, and reports that require a coherent, well-reasoned response.
3Multimodal Content Analysis: Analyze charts, diagrams, and screenshots alongside natural-language questions.
4Research Summaries: Combine web search with reasoning to produce grounded summaries of current topics.
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Pricing & Value

Cost analysis

muapiapp$5.00/M input, $30.00/M output

Token-based billing. Minimum $0.0004 per call.

Fal.aiNot available

No dedicated GPT 5.6 Terra endpoint at this time.

ReplicateNot available

No dedicated GPT 5.6 Terra endpoint at this time.

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

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Technical Details

Configuration schema

Promptstring

The user message or instruction.

Default ValueDraft a business email proposing a new partnership.
Image URLstring

Optional image URL for multimodal requests.

Default Valueundefined
System Promptstring

Optional system-level instruction to guide model behavior.

Default ValueYou are an expert business analyst.
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-5-6-terra — returns request_id, poll for result via /api/v1/predictions/{id}/result.

Streaming (SSE)

POST /api/v1/gpt-5-6-terra/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-5-6-terra" \
  -H "Authorization: Bearer $YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Draft a business email proposing a new partnership.",
    "reasoning_effort": "medium"
  }'
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Common Questions

Frequently asked

What is GPT 5.6 Terra best used for?

Terra is balanced for general business, analytical, and writing tasks — it's the default choice when Luna is too lightweight and Sol is more reasoning power than you need.

How is pricing calculated for GPT 5.6 Terra?

Pricing is token-based at $5.00 per million input tokens and $30.00 per million output tokens, with a minimum charge of $0.0004 per call.

Does GPT 5.6 Terra support multimodal inputs?

Yes, Terra supports mixed text and image (image_url) inputs in a single message.

What is reasoning effort control?

You can control the depth of reasoning by passing a reasoning_effort value of 'low', 'medium', 'high', or 'xhigh'. Higher levels provide more thorough logic but increase latency.

How do I choose between async and streaming endpoints?

Use the streaming endpoint (/gpt-5-6-terra/stream) for interactive chat interfaces where the user expects real-time feedback. Use the async endpoint (/gpt-5-6-terra) for background tasks, workflows, and automated scripts.

When should I use Luna or Sol instead of Terra?

Use Luna for high-volume, low-latency classification tasks where cost matters most. Use Sol for complex math, programming, and scientific reasoning that needs the flagship model's depth.