About OpenAI/GPT-OSS-120B
OpenAI GPT OSS 120B is an LLM built with a Mixture-of-Experts (MoE) architecture and designed for efficient, large-scale reasoning, coding, and agentic tasks. It excels in processing extremely long contexts—up to 128,000 tokens—while maintaining resource efficiency by activating only a small subset of its total parameters per token, making it practical for both research and production environments.
Some other noteworthy features of OpenAI GPT OSS 120B include its suitability for local and private deployments, and its strong performance on tool-use and code generation tasks.
| Metric | Value |
|---|---|
| Parameter Count | 117 billion |
| Mixture of Experts | Yes |
| Active Parameter Count | 5.1 billion |
| Context Length | 128,000 tokens |
| Multilingual | Yes |
| Quantized* | Yes |
| Precision* | MXFP4 |
*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.
Ready to build with OpenAI/GPT-OSS-120B?
Try OpenAI/GPT-OSS-120B in the Workbench to prompt it, compare outputs, and iterate on prompts without writing any code. When you're ready to ship, call the same model from our API and build your own apps on top of it.
curl -sSf -X POST https://hub.oxen.ai/api/ai/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "gpt-oss-120b",
"messages": [
{
"role": "user",
"content": "Try sending a message."
}
]
}'API endpoint
See the API reference for request and response formats.
https://hub.oxen.ai/api/ai/chat/completions