OpenAI

OpenAI

GPT-5.6 Terra

GPT-5.6 Terra is OpenAI’s balanced tier, positioned between the high-capability Sol and the budget-focused Luna. It targets developers who need reliable reasoning, tool use, and vision support for everyday coding and agentic workflows without flagship pricing.

Modalities

Text+Image → Text

Input

$1.443 /1M

Output

$8.656 /1M

Cached input

$0.1443 /1M90% off

Context

1M

Speed

medium

Performance

Live production data from real requests on Kyma — not synthetic benchmarks.

Rank

#31

of 87 active models

Tokens served

527.5K

all-time

Success rate

100%

last 7 days

Median throughput51 tok/s
Total requests121
Platform share0.0%
Tokens · last 15 daysJul 19Aug 2

Top apps using this model

1Codex CLI371.5K tok

Public apps sending the most traffic to this model — a signal of what real workloads it fits.

Pricing

Pay per token. Cached input is billed at 10% of the input rate.

$1.443 /1M input$8.656 /1M output
Hobby10 req/day · 2K in / 500 out
~$2.16/mo
Production1,000 req/day · 2K in / 500 out
~$216/mo
Scale20,000 req/day · 2K in / 500 out
~$4,328/mo
+ Estimate your workload
1,000
2,000
500
30%

Estimated monthly cost

$193

$6.43 / day on GPT-5.6 Terra

Same workload on:

GPT-5.6 Sol Pro$1,013+424%
GPT-5.6 Sol$1,013+424%

Estimates use list pricing with cached input billed at the 90%-discount rate. Actual bills depend on real token counts — every response includes its exact cost.

When to use GPT-5.6 Terra

Updated 2026-07-29

Where this model earns its cost — and where it doesn't.

This frontier-class model accepts text and image inputs and returns text. It supports tool calling, extended reasoning, structured outputs, and prompt caching. With a 1,050,000-token context window and an 8,192-token maximum output, it handles long documents and multi-step tasks.

On Kyma, the model runs through an OpenAI-compatible endpoint using a single API key. Requests benefit from automatic failover, and the response headers include the exact model that executed the prompt via X-Kyma-Model. Usage costs are returned in the usage.cost field, and repeated prompt prefixes are billed at 10% of the input rate when caching is active.

The model operates at a medium speed tier and a premium cost tier. It does not support audio or video inputs, and the maximum output length is capped at 8,192 tokens, which restricts very long-form generation tasks.

Everyday Code Generation

Handles routine scripting, refactoring, and debugging tasks with reliable tool integration.

Multi-Step Agent Workflows

Executes chained function calls and maintains state across complex operational loops.

Technical Document Analysis

Processes long text and image inputs within a million-token context window.

Interactive Chat Applications

Delivers consistent conversational responses with structured output formatting.

Not ideal for: It is not suited for high-throughput batch processing or tasks requiring ultra-low latency, as it operates at a medium speed tier and premium cost tier.

How it compares

Against the peers people actually weigh it against.

SpecGPT-5.6 TerraGPT-5.6 Sol ProGPT-5.6 Sol
Input /1M$1.443$6.75$6.75
Output /1M$8.656$40.50$40.50
Context1M1M1M
ToolsYesYesYes
ReasoningYesYesYes
Speedmediummediummedium

Quick start

Up and running in under two minutes.

  1. 1

    Create an API key

    Sign up and grab a key from the dashboard — $0.50 free credit, no card required.

    Get API key →
  2. 2

    Make your first request

    Drop in your key and send a chat completion — fully OpenAI-compatible.

    curl https://kymaapi.com/v1/chat/completions \
      -H "Authorization: Bearer YOUR_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "gpt-5.6-terra",
        "messages": [
          {"role": "user", "content": "Explain prompt caching in one paragraph."}
        ]
      }'
  3. 3

    Stream responses

    Add "stream": true to receive tokens as they arrive.

    curl https://kymaapi.com/v1/chat/completions \
      -H "Authorization: Bearer YOUR_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "gpt-5.6-terra",
        "stream": true,
        "messages": [{"role": "user", "content": "Hello!"}]
      }'

FAQ

Common questions about this model.

What is the context window of GPT-5.6 Terra?

GPT-5.6 Terra has a 1M-token context window — roughly 1544 pages of text in a single request.

How much does the GPT-5.6 Terra API cost?

$1.443 per 1M input tokens and $8.656 per 1M output tokens, with cached input at $0.1443/1M — a 90% discount on repeated prompt prefixes. No subscription; you pay only for what you use.

Does GPT-5.6 Terra support function calling?

Yes — GPT-5.6 Terra supports tool/function calling and structured outputs (JSON mode), so it works with agent frameworks out of the box.

How do I use GPT-5.6 Terra?

Kyma is OpenAI-compatible: point your SDK's base URL at https://kymaapi.com/v1, use your Kyma API key, and set the model to gpt-5.6-terra. Signing up is free and includes $0.50 of credit — no card required.

Does this model support image inputs?

Yes, it accepts both text and image inputs and returns text-only outputs.

How does prompt caching work on Kyma?

When enabled, repeated prompt prefixes are billed at 10% of the standard input rate, reducing costs for conversational or template-heavy workloads.

Can I rely on a single API key for this model?

Yes, Kyma uses one API key across all models and routes requests through an OpenAI-compatible endpoint at https://kymaapi.com/v1.

Start with $0.50 free credit — no card required.Create account →

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