Built with a Mixture-of-Experts design, delivers efficient, transparent reasoning, tool use, and agentic capabilities, even with 128K token context windows.
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Model ID:gpt-oss-120bOpenAI 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.