gpt-oss-20b
Version: 11
Key capabilities
About this model
OpenAI's open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.Key model capabilities
- Permissive Apache 2.0 license: Build freely without copyleft restrictions or patent risk—ideal for experimentation, customization, and commercial deployment.
- Configurable reasoning effort: Easily adjust the reasoning effort (low, medium, high) based on your specific use case and latency needs.
- Full chain-of-thought: Gain complete access to the model's reasoning process, facilitating easier debugging and increased trust in outputs. It's not intended to be shown to end users.
- Fine-tunable: Fully customize models to your specific use case through parameter fine-tuning.
- Agentic capabilities: Use the models' native capabilities for function calling, web browsing , Python code execution , and Structured Outputs.
- Native MXFP4 quantization: The models are trained with native MXFP4 precision for the MoE layer, making gpt-oss-120b run on a single H100 GPU and the gpt-oss-20b model run within 16GB of memory.
Use cases
See Responsible AI for additional considerations for responsible use.Key use cases
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Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.Technical specs
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Configurable reasoning effort: Easily adjust the reasoning effort (low, medium, high) based on your specific use case and latency needs.Additional assets
Please see OpenAI's gpt-oss-120b model card here.Training disclosure
Training, testing and validation
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Distribution channels
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Safety techniques
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Acceptable use policy
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Source: OpenAI The provider has not supplied this information.Benchmarking methodology
Source: OpenAI The provider has not supplied this information.Public data summary
Source: OpenAI The provider has not supplied this information.Model Specifications
Context Length131072
LicenseCustom
Last UpdatedDecember 2025
Input TypeText
Output TypeText
ProviderOpenAI
Languages1 Language