# GPT-OSS 120B

> OpenAI's open source. 120B parameters.

Human version: https://kymaapi.com/models/gpt-oss-120b
Live JSON: `GET https://kymaapi.com/v1/models` (no auth required)

## Facts

- **Model ID**: `gpt-oss-120b` — pass this as `model` in the request body
- **Creator**: OpenAI
- **Released**: 2025-08-05
- **Context window**: 128K tokens
- **Max output**: 8K tokens per response — a hard ceiling, not a default
- **Price**: $0.0527 in / $0.2565 out per 1M, cached input 10%
- **Capabilities**: tools, caching

## Call it

```bash
curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer $KYMA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "gpt-oss-120b", "messages": [{"role": "user", "content": "Hello"}]}'
```

## Positioning

OpenAI's open-source 120B model, and a top-10 workhorse on Kyma — strong-tier quality at cheap-tier pricing, serving over 113M production tokens with a 100% success rate. Reach for it when you want dependable general intelligence and writing without flagship cost.

## About

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: ranked #6 of 62 models by tokens served, with 5.7% of platform traffic across nearly 15,000 requests at a 100% success rate. Its biggest consumers are OpenClaw and OpenAI Python SDK integrations. Every call gets Kyma's automatic failover, and prompt caching is fully supported — repeated prompt prefixes bill at 10% of the 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.

## Use cases

- **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, and at a median 21 tokens/second it isn't the pick for latency-critical UX either.

## Pick something else when

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

## See also

- All models: https://kymaapi.com/models.md
- Pricing: https://kymaapi.com/pricing.md
- Other models by OpenAI: https://kymaapi.com/models?q=OpenAI