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openrouter/router/openai/v1/chat/completions

OpenAI-compatible chat completions API. Drop-in replacement for the OpenAI API — use any OpenAI SDK or client to access Claude, Gemini, Grok, DeepSeek, Llama, Qwen, Mistral, and all OpenAI models (GPT-5, GPT-4o, o3) through fal. Powered by OpenRouter.
Inference
Commercial use
Partner
Schema
LLMs
PlaygroundAPI

Input

Result

Idle

Waiting for your input...

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

Logs

🚀 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: