GPT-5.6 Terra - Kyma API

Overview

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 this model’s cached 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.

Specs

Field	Value
Model ID	`gpt-5.6-terra`
Best for	Everyday coding, reasoning and agentic work where capability and cost both matter
Context window	1.05M
Max output tokens	8K
Input modalities	Text, Image
Output modalities	Text
Tool calling	Yes
Structured outputs	Yes
Prompt caching	Yes
Speed	Medium
Cost band	Premium
Release stage	Stable

Pricing

	Per 1M tokens
Input	$2.70
Output	$16.20

Above a long prompt this model costs more per token, because the infrastructure serving it charges more there. The threshold is on the prompt, so you know which rate applies before you send.

Prompt length	Input	Output
Standard	$2.70	$16.20
Above 272,000 tokens	$10.80	$48.60

Use this when

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.

Pick something else when

You need faster, lower-cost inference for simple prompts: use gemini-3.6-flash.
You need deeper reasoning for complex research or math: use deepseek-r1.
You need specialized code generation and repository-level tasks: use qwen-3-coder.

Example

from openai import OpenAI

client = OpenAI(base_url="https://kymaapi.com/v1", api_key="kyma-...")

response = client.chat.completions.create(
    model="gpt-5.6-terra",
    messages=[{"role": "user", "content": "..."}],
    tools=[...],  # function calling supported
)

Agent query example

Ask the API which models fit, instead of hardcoding an id:

curl "https://kymaapi.com/v1/models?recommended_for=write-code&tools=true&quality_tier=frontier-open"

FAQ

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 this model’s cached 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.

​Overview

​Specs

​Pricing

​Use this when

​Not ideal for

​Pick something else when

​Example

​Agent query example

​FAQ