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.

OpenAI Chat 131.1k Tokens
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api_example.sh

curl -X POST "https://platform.qubrid.com/chat/completions" \
  -H "Authorization: Bearer $QUBRID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "openai/gpt-oss-20b",
  "messages": [
    {
      "role": "user",
      "content": "Explain quantum computing in simple terms"
    }
  ],
  "temperature": 0.7,
  "max_tokens": 500
}'

Technical Specifications

Model Architecture & Performance

Model Size 20.9B Params
Context Length 131.1k Tokens
Quantization fp16
Tokens/Second 386
License Apache 2.0
Release Date August 2024
Developers OpenAI

Pricing

Pay-per-use, no commitments

Input Tokens $0.00005/1K Tokens
Output Tokens $0.00028/1K Tokens

API Reference

Complete parameter documentation

ParameterTypeDefaultDescription
streambooleantrueEnable streaming responses for real-time output.
temperaturenumber0.7Controls randomness. Higher values mean more creative but less predictable output.
max_tokensnumber4096Maximum number of tokens to generate in the response.
top_pnumber1Nucleus sampling: considers tokens with top_p probability mass.

Explore the full request and response schema in our external API documentation

Performance

Strengths & considerations

StrengthsConsiderations
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

Docker Support

Official Docker images for containerized deployments

Kubernetes

Kubernetes Ready

Production-grade KBS manifests and Helm charts

SDK

SDK Libraries

Official SDKs for Python, Javascript, Go, and Java

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