gpt-oss-120b

gpt-oss-120b by OpenAI excels in the Coding category, where it ranks #172 with a composite score of 68/100. 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 is priced at $0.04 per million input tokens and $0.19 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 holds rank #172 out of 6 models tracked. Its quality rank is #172 and adoption rank is #172. 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 has been evaluated across 6 different signals. Its strongest areas include Capabilities (67/100), Benchmarks (61/100), Pricing (0/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 68/100 reflects a weighted combination of all tracked signals.

gpt-oss-120b is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check OpenAI's website for current free tier availability and promotional offers.