GPT-OSS 20B
Welcome to the gpt-oss series, OpenAI's open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases. gpt-oss-20b is a 21.5B parameter model with Mixture-of-Experts (MoE) architecture, featuring 3.6B active parameters during inference. It's optimized for lower latency and local or specialized use-cases, supporting configurable reasoning depth for agentic applications.
api_example.sh
Technical Specifications
Model Architecture & Performance
Pricing
Pay-per-use, no commitments
API Reference
Complete parameter documentation
| Parameter | Type | Default | Description |
|---|---|---|---|
| stream | boolean | true | Enable streaming responses for real-time output. |
| temperature | number | 0.7 | Controls randomness. Higher values mean more creative but less predictable output. |
| max_tokens | number | 4096 | Maximum number of tokens to generate in the response. |
| top_p | number | 1 | Nucleus sampling: considers tokens with top_p probability mass. |
Explore the full request and response schema in our external API documentation
Performance
Strengths & considerations
| Strengths | Considerations |
|---|---|
Compact Mixture-of-Experts (MoE) design with SwiGLU activations Token-choice MoE optimized for single-GPU efficiency Native FP4 quantization for optimal inference speed Single B200 GPU deployment capability 131K context window with efficient memory usage Adjustable reasoning effort levels for task-specific optimization Supports function calling with defined schemas Apache 2.0 license for commercial use | Smaller than largest frontier models May require fine-tuning for specialized domains MoE architecture complexity for some use cases |
Enterprise
Platform Integration
Docker Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
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