GPT-OSS 120B - Kyma API

Overview

GPT-OSS 120B is OpenAI’s open-source model at 120B parameters, built for general intelligence and writing. On Kyma it sits in the strong quality tier with cheap-tier pricing — the combination teams pick when they need broadly capable output across many requests and the bill matters. It has earned that role in production, mostly under coding agents and direct SDK integrations. Every call gets Kyma’s automatic failover, and prompt caching is fully supported — repeated prompt prefixes bill at this model’s cached input rate. The 128K-token context window handles long documents and conversation history, while function calling and structured outputs make it usable inside agent pipelines, not just chat. It’s text-in, text-out, with generations capped at 8K output tokens.

Specs

Field	Value
Model ID	`gpt-oss-120b`
Best for	General intelligence, writing
Context window	128,000
Max output tokens	8K
Input modalities	Text
Output modalities	Text
Tool calling	Yes
Structured outputs	Yes
Prompt caching	Yes
Speed	Medium
Cost band	Cheap
Release stage	Stable

Pricing

	Per 1M tokens
Input	$0.05
Output	$0.24

Use this when

Writing and drafting — Its core strength — articles, summaries, rewrites, and editorial work at a price that holds up across high volume.
General assistants — A broadly capable default for chatbots and Q&A where you want strong-tier answers without flagship spend.
Agent pipelines — Function calling plus structured outputs keep it reliable inside multi-step agents — OpenClaw is already its top app by tokens on Kyma.
High-volume batch work — Cheap-tier pricing with prompt caching makes it economical for classification, extraction, and bulk text processing.
Long-context tasks — The 128K window fits substantial documents and long-running conversations in a single request.

Not ideal for

Image inputs (it’s text-only), extended step-by-step reasoning modes (it has none), or single very long generations — output is capped at 8K tokens. Its medium speed also rules it out for latency-critical UX.

Pick something else when

You want stronger coding and reasoning quality: use qwen-3.6-plus or deepseek-v3.
You need deep reasoning: use deepseek-r1.
You need vision or multimodal input: use gemma-4-31b or kimi-k2.6.

Example

from openai import OpenAI

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

response = client.chat.completions.create(
    model="gpt-oss-120b",
    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-content&tools=true&quality_tier=strong"

FAQ

Is GPT-OSS 120B good for writing? Yes — writing is what it’s recommended for on Kyma, alongside general-purpose work. It produces strong-tier prose at cheap-tier rates, which is why it handles high-volume drafting and rewriting workloads well. For tasks that need extended chain-of-thought reasoning, pick a reasoning-capable model instead. What throughput should I expect? It’s a medium-speed model. That’s comfortable for background jobs, batch processing, and agent steps, but if your product streams responses to users in real time, a fast-tier model will feel noticeably snappier. Why use GPT-OSS 120B through Kyma? One API key and one OpenAI-compatible endpoint covers this and every other model on the platform. You get automatic failover when a serving path degrades, prompt caching on repeated prefixes, exact per-request cost in usage.cost, and $0.50 of free credit at signup — no card required.

​Overview

​Specs

​Pricing

​Use this when

​Not ideal for

​Pick something else when

​Example

​Agent query example

​FAQ