---
title: OpenAI: gpt-oss-20b — Open LLM | ModelsLab
description: Access OpenAI: gpt-oss-20b model via API for efficient MoE reasoning on 16GB hardware. Generate advanced text outputs now.
url: https://modelslab.com/openai-gpt-oss-20b
canonical: https://modelslab.com/openai-gpt-oss-20b
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T00:17:52.173716Z
---

Available now on ModelsLab · Language Model

OpenAI: Gpt-oss-20b
OpenAI gpt-oss-20b MoE
---

[Try OpenAI: Gpt-oss-20b](/models/open_router/openai-gpt-oss-20b) [API Documentation](https://docs.modelslab.com)

Deploy Efficient Reasoning Models
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MoE Architecture

### 21B Total 3.6B Active

Activates 3.6B parameters per token from 21B total for low-latency inference on single GPU.

Reasoning Levels

### Low Medium High Effort

Set reasoning effort in system prompt to balance speed and performance on complex tasks.

Agentic Tools

### Function Calling Support

Handles tool use, structured outputs, and chain-of-thought for STEM and coding.

Examples

See what OpenAI: Gpt-oss-20b can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/openai-gpt-oss-20b).

Math Proof

“Prove Fermat's Last Theorem step-by-step using high reasoning effort. Explain each mathematical concept clearly for advanced audience.”

Code Debugger

“Debug this Python function for sorting algorithms: def quicksort(arr): ... Identify errors and provide fixed version with medium reasoning.”

Physics Simulation

“Simulate quantum entanglement experiment. Describe setup, equations, and outcomes using low reasoning effort for quick overview.”

Algorithm Design

“Design efficient graph traversal algorithm for social network analysis. Include pseudocode and time complexity analysis with high effort.”

For Developers

A few lines of code.
Reasoning. One API call.
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about OpenAI: Gpt-oss-20b
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[Read the docs ](https://docs.modelslab.com)

### What is OpenAI: gpt-oss-20b model?

### How does openai gpt oss 20b API work?

### Is OpenAI: gpt-oss-20b alternative to closed models?

### What hardware runs openai: gpt-oss-20b model?

### What tasks excels OpenAI: gpt-oss-20b API?

### Can I fine-tune openai gpt oss 20b model?

Ready to create?
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Start generating with OpenAI: Gpt-oss-20b on ModelsLab.

[Try OpenAI: Gpt-oss-20b](/models/open_router/openai-gpt-oss-20b) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-04-15*