GPT-OSS-20B
GPT-OSS-20B is a medium-sized open-weight language model that delivers similar results to OpenAI o3‑mini on common benchmarks and can run on edge devices with just 16 GB of memory. This makes it ideal for on-device use cases, local inference, or rapid iteration without costly infrastructure. Despite its smaller size, it demonstrates strong performance on reasoning tasks, tool use, and competition mathematics.
Specifications
- Parameters
- 21B total (3.6B active per token)
- Architecture
- Mixture of Experts Transformer
- License
- Apache-2.0
- Context Window
- 128,000 tokens
- Type
- text
- Modalities
- text
Benchmark Scores
Massive Multitask Language Understanding (MMLU) tests knowledge across 57 subjects including mathema...
Graduate-level Problems in Quantitative Analysis (GPQA) evaluates advanced reasoning on graduate-lev...
A challenging benchmark of novel problems designed to test the limits of AI capabilities....
Advanced competitive programming benchmark for evaluating large language models on algorithmic probl...
Tool Augmented Understanding Benchmark (TAU-bench) evaluates models on their ability to use tools....
Advanced Specifications
- Model Family
- gpt-oss
- API Access
- Not Available
- Chat Interface
- Not Available
- Variants
- MXFP4 quantized
- Hardware Support
- NVIDIAAMDCerebrasGroqONNX Runtime
Capabilities & Limitations
- Capabilities
- chain-of-thought reasoningtool useweb searchpython code executionfunction callingstructured outputsvariable reasoning effortagentic workflowscompetition mathematicscodingscientific reasoningedge device deploymentlow-memory inference
- Known Limitations
- Chain-of-thought may contain hallucinated or harmful contentCoT should not be directly shown to usersMay include language that doesn't reflect OpenAI's safety policiesRequires safety monitoring for CoT content
- Notable Use Cases
- Edge device deploymentLocal inferenceOn-device applicationsRapid prototypingResource-constrained environmentsCompetition mathematicsCode generationAgentic workflowsCustom fine-tuningResearch and development
- Function Calling Support
- Yes
- Tool Use Support
- Yes