---
title: gpt-oss-20b — Free OpenAI LLM | ModelsLab
description: Run OpenAI: gpt-oss-20b (free) for reasoning and agentic tasks on 16GB hardware. Try this efficient 20B MoE model via API now.
url: https://modelslab.com/openai-gpt-oss-20b-free
canonical: https://modelslab.com/openai-gpt-oss-20b-free
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T04:03:54.184817Z
---

Available now on ModelsLab · Language Model

OpenAI: Gpt-oss-20b (free)
Free OpenAI Reasoning Power
---

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

Run Efficiently. Reason Deeply.
---

MoE Architecture

### 20B Parameters Active 3.6B

Activates 3.6B parameters per token from 21B total for fast inference on 16GB VRAM.

Configurable Reasoning

### Low Medium High Effort

Set reasoning level in system prompt to balance speed and depth for any task.

Agentic Native

### Tool Calling Built-In

Handles function calling, code execution, and structured outputs without extras.

Examples

See what OpenAI: Gpt-oss-20b (free) can create
---

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

Code Debug

“Reasoning: high. Analyze this Python function for bugs and suggest fixes: def factorial(n): if n == 0: return 1 else: return n \* factorial(n+1)”

Math Proof

“Reasoning: medium. Prove that the sum of angles in a triangle is 180 degrees using Euclidean geometry.”

Agent Workflow

“Reasoning: high. Plan steps to research quantum computing basics, execute Python simulation of qubit, output results in table.”

Text Summary

“Reasoning: low. Summarize key advances in MoE architectures from recent AI papers in 3 bullet points.”

For Developers

A few lines of code.
Reasoning LLM. One Prompt.
---

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 (free)
---

[Read the docs ](https://docs.modelslab.com)

### What is OpenAI: gpt-oss-20b (free)?

### How to access openai gpt oss 20b free API?

### What hardware for OpenAI: gpt-oss-20b (free) model?

### Is OpenAI: gpt-oss-20b (free) LLM fine-tunable?

### OpenAI: gpt-oss-20b (free) alternative to what?

### Set reasoning in openai gpt oss 20b free?

Ready to create?
---

Start generating with OpenAI: Gpt-oss-20b (free) on ModelsLab.

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

---

*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)

---
*Generated by ModelsLab - 2026-04-15*