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.
Modalities
Text → Text
Input
$0.0527 /1M
Output
$0.2565 /1M
Cached input
$0.00527 /1M90% off
Context
128K
Speed
medium
Performance
Live production data from real requests on Kyma — not synthetic benchmarks.
Rank
#5
of 87 active models
Tokens served
123.2M
all-time
Success rate
86.4%
last 7 days
Top apps using this model
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.
+ Estimate your workload− Estimate your workload
Estimated monthly cost
$6.16
$0.2052 / day on GPT-OSS 120B
Same workload on:
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-OSS 120B
Where this model earns its cost — and where it doesn't.
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.
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.
How it compares
Against the peers people actually weigh it against.
| Spec | GPT-OSS 120B | GPT-5.6 Sol Pro | GPT-5.6 Sol |
|---|---|---|---|
| Input /1M | $0.0527 | $6.75 | $6.75 |
| Output /1M | $0.2565 | $40.50 | $40.50 |
| Context | 128K | 1M | 1M |
| Tools | Yes | Yes | Yes |
| Reasoning | No | Yes | Yes |
| Speed | medium | medium | medium |
Quick start
Up and running in under two minutes.
- 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
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-oss-120b", "messages": [ {"role": "user", "content": "Explain prompt caching in one paragraph."} ] }' - 3
Stream responses
Add
"stream": trueto 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-oss-120b", "stream": true, "messages": [{"role": "user", "content": "Hello!"}] }'
FAQ
Common questions about this model.
What is the context window of GPT-OSS 120B?
How much does the GPT-OSS 120B API cost?
Does GPT-OSS 120B support function calling?
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Is GPT-OSS 120B good for writing?
What throughput should I expect?
Why use GPT-OSS 120B through Kyma?
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