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

Try OpenAI: Gpt-oss-20b (free)API Documentation

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.

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 
import requests


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

FAQ

Common questions about OpenAI: Gpt-oss-20b (free)

Read the docs

OpenAI: gpt-oss-20b (free) is a 21B parameter MoE model matching o3-mini on reasoning benchmarks. It runs on 16GB memory with Apache 2.0 license. Use for local inference or API calls.

Access openai gpt oss 20b free API via endpoints like this platform. Set reasoning effort in system message. Download weights from Hugging Face for local runs.

Requires 16GB VRAM for inference on consumer GPUs. Supports 128k context window. Optimized for edge devices and desktops.

Yes, fully fine-tunable with parameter adjustments. Customize for specific domains like coding or math. Apache 2.0 allows commercial use.

Serves as free alternative to o3-mini with similar reasoning performance. Adds agentic tools and efficiency for on-device tasks. Outperforms other open 20B models.

Use 'Reasoning: low', 'Reasoning: medium', or 'Reasoning: high' in system prompt. Low for speed, high for complex analysis. Full chain-of-thought accessible.

Ready to create?

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

Try OpenAI: Gpt-oss-20b (free)API Documentation