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.
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Independent benchmark scores for gpt-oss-120b (batch), measured by Artificial Analysis. Higher is better. Measurement mode: Low.
gpt-oss-120b (batch) is an open-weight AI model by OpenAI. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.
gpt-oss-120b (batch) is an AI language model from OpenAI. It is open-weight: you can download it and run it on your own hardware, for free.
The weights are free and open — you can self-host gpt-oss-120b (batch) and pay nothing per token. If you prefer a hosted API, list prices are $0.03 per million input tokens and $0.14 per million output tokens.
Independent benchmarks from Artificial Analysis give it GPQA 67.2%, MMLU-Pro 77.5%, Humanity's Last Exam 5.9%, Long Context Reasoning 46%, LiveCodeBench 70.7%, AIME 2025 66.7%, IFBench 58.3%, τ²-Bench 45%, τ-Bench Banking 2.9%, Terminal-Bench 13.9%, Terminal-Bench Hard 5.3%. It is particularly used for code generation.
It generates about 262 tokens per second, with a median 0.48s delay before the first token. Measured independently by Artificial Analysis.
Yes. gpt-oss-120b (batch) has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.