gpt-oss-120b

OpenAI·Aug 2025reasoningopen weights · Apache 2.0

gpt-oss-120b was OpenAI's first open-weights language model since GPT-2: a 117B-parameter mixture-of-experts with only 5.1B active parameters per token, released under Apache 2.0. It delivers reasoning quality near o4-mini, runs on a single 80GB GPU, and supports adjustable reasoning effort. Hosted inference is extremely cheap across providers, and self-hosting is realistic for mid-size teams — a rare combination of pedigree, license freedom and efficiency.

Benchmark results

Where it shines

  • Permissive Apache 2.0 license with OpenAI pedigree
  • Runs on a single 80GB GPU (or hosted for ~$0.10/M input)
  • Adjustable reasoning effort like the proprietary o-series

Alternatives to gpt-oss-120b

Frequently asked questions

How much does the gpt-oss-120b API cost?
gpt-oss-120b costs $0.1 per million input tokens and $0.5 per million output tokens. A workload of 10M input and 1.5M output tokens per month costs about $1.75.
What is the context window of gpt-oss-120b?
gpt-oss-120b supports a context window of 131,072 tokens (131K), with up to 131K output tokens per response.
Is gpt-oss-120b open source?
Yes — gpt-oss-120b is an open-weights model released under the Apache 2.0 license, so it can be downloaded and self-hosted.
What are the best alternatives to gpt-oss-120b?
The closest alternatives by overall capability are Qwen3-Max, Gemini 3 Pro, Gemini 2.5 Pro, DeepSeek V3.2. See the comparison pages for detailed head-to-head breakdowns.