Best for
- Developers
- Self-hosters
- Regulated environments
GP
Open-weight LLMs
Overview - gpt-oss
OpenAI's open-weight reasoning models (120B and 20B) under Apache-2.0 — the 20B runs on a 16GB GPU.
gpt-oss brought OpenAI back to open weights: two MoE reasoning models with adjustable effort, built for agentic use with tools. The 20B fits consumer hardware; 120B runs on a single 80GB card. Supported day-one by Ollama, LM Studio and vLLM.
Difficulty: IntermediatePlatform: LocalPricing: FreeReleased: 2025-08
Open WeightReasoningOpenaiApache 2.0
What this tool is used for
gpt-oss is best used as a practical helper for local reasoning agents, private coding help, on-prem assistants. It is useful when you want to move from rough ideas to high-quality drafts quickly, then refine with human review before publishing or sharing.
Use this when
- You want OpenAI-style reasoning offline
- You have a 16GB+ GPU
- You need Apache-2.0
Not ideal for
- Multilingual-first products (English-centric)
Example tasks
- Local reasoning agents
- Private coding help
- On-prem assistants
Limitations / things to watch
- English-leaning
- Text only
How this compares to similar tools
gpt-oss sits in the same category as Qwen 3 and DeepSeek R1 / V3. Use gpt-oss when its output style and workflow fit your team, but compare pricing limits, integrations, and review requirements before standardizing.
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Suggested workflows
Explore workflows to find best-fit use cases for this tool.