OpenAI: gpt-oss-120b
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
Specifications
| Attribute | Value |
|---|---|
| Lab | OpenAI |
| Tags | Open Weight Intelligent |
| Release Date | 2025-08 |
| Context Window | 131,072 tokens |
| Input Price / 1M | $0.04 |
| Output Price / 1M | $0.18 |
| Input Modalities | Text |
| Output Modalities | Text |
Strengths
- First open-weight release from OpenAI (Apache 2.0)
- Efficient 117B MoE architecture (5.1B active params)
- Strong reasoning and agentic capabilities
- Ultra-budget pricing for self-hosted deployment
Weaknesses
- Small active parameter count limits raw power
- No multimodal/vision input support
- Less polished than closed OpenAI models
Best For
- Self-hosted production deployments
- Cost-efficient agentic workflows
- Research and fine-tuning
- Budget-conscious enterprise use
In Depth: gpt-oss-120b
Summary
gpt-oss-120b is an AI model from OpenAI.
Released 2025-08. It currently appears in the Overall category on LMRank and 1 other category. It supports Text input and produces Text output, with a context window of 131,072 tokens. Input pricing is $0.04 per 1M tokens and output is $0.18 per 1M tokens on OpenRouter.