gpt-oss-120b (free)

gpt-oss-120b (free) by OpenAI excels in the Coding category, where it ranks #70 with a composite score of 56/100. 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 to run on a single H100 GPU with native MXFP4 quantization. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

gpt-oss-120b (free) is priced at $0.00 per million input tokens and $0.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, gpt-oss-120b (free) holds rank #70 out of 6 models tracked. Its quality rank is #70 and adoption rank is #70. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

gpt-oss-120b (free) has been evaluated across 6 different signals. Its strongest areas include Capabilities (43/100), Context Window (81/100), Output Capacity (85/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 56/100 reflects a weighted combination of all tracked signals.

gpt-oss-120b (free) is available as a free, open-source model. You can run it locally or use it through various hosting providers. Some API providers may charge for hosted inference, so check individual provider pricing.