Run the latest models all in one Sandbox 🏖️
Log-inSign-up

OpenRouter Large Language Models

openrouter/router
Run any LLM (Large Language Model) with fal, powered by OpenRouter.
Inference
Commercial use
Streaming
Schema
LLMs
PlaygroundAPI

Input

Additional Settings

Customize your input with more control.

Streaming
Sign in to run

Result

Idle

What would you like to do next?

You will be charged based on the number of input and output tokens.

Logs

🧠 Using OpenRouter API

The OpenRouter API provides unified access to a wide range of large language models — including GPT, Claude, Gemini, and many others through a single API interface. Billed through fal.

🚀 Usage with OpenAI Client

python
from openai import OpenAI
import os

client = OpenAI(
    base_url="https://fal.run/openrouter/router/openai/v1",
    api_key="not-needed",
    default_headers={
        "Authorization": f"Key {os.environ['FAL_KEY']}",
    },
)

response = client.chat.completions.create(
    model="google/gemini-2.5-flash",
    messages=[
        {"role": "user", "content": "Write a short story (under 200 words) about an AI that learns to dream. Use vivid sensory details and end with a surprising twist that makes the reader feel both awe and melancholy."},
    ],
)

print(response.choices[0].message.content)

🚿 Streaming Example

python
from openai import OpenAI
import os

client = OpenAI(
    base_url="https://fal.run/openrouter/router/openai/v1",
    api_key="not-needed",
    default_headers={
        "Authorization": f"Key {os.environ['FAL_KEY']}",
    },
)

stream = client.chat.completions.create(
    model="google/gemini-2.5-flash",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms."},
    ],
    stream=True,
)

for chunk in stream:
    if chunk.choices and chunk.choices[0].delta:
        print(chunk.choices[0].delta.content, end="", flush=True)

📚 Documentation

For more details, visit the official docs: