OpenRouter API: Access Claude, GPT-4, and Gemini for Free with Python
OpenRouter gives you access to 100+ AI models including free tiers for Claude and Gemini.
Setup
- Sign up at openrouter.ai
- Get $1 free credits (enough for ~1000 messages)
- Many models have free tiers
Install
pip install httpx
Basic Usage
import httpx
import os
OPENROUTER_KEY = os.getenv("OPENROUTER_API_KEY")
def chat(prompt: str, model: str = "google/gemini-flash-1.5") -> str:
"""
Free models on OpenRouter:
- google/gemini-flash-1.5 (FREE)
- meta-llama/llama-3.2-3b-instruct (FREE)
- qwen/qwen-2-7b-instruct (FREE)
"""
with httpx.Client() as client:
r = client.post(
"https://openrouter.ai/api/v1/chat/completions",
headers={
"Authorization": f"Bearer {OPENROUTER_KEY}",
"HTTP-Referer": "https://github.com/my-project",
},
json={
"model": model,
"messages": [{"role": "user", "content": prompt}],
},
timeout=30,
)
return r.json()["choices"][0]["message"]["content"]
# Compare models
models = [
"google/gemini-flash-1.5",
"meta-llama/llama-3.2-3b-instruct",
]
for model in models:
response = chat("What is Python?", model)
print(f"\n{model}:\n{response[:200]}...")
Cost-Effective Strategy
# Route based on complexity
def smart_chat(prompt: str) -> str:
word_count = len(prompt.split())
if word_count < 50:
# Simple question - use free model
return chat(prompt, "google/gemini-flash-1.5")
elif word_count < 200:
# Medium - use good free model
return chat(prompt, "meta-llama/llama-3.1-8b-instruct:free")
else:
# Complex - use capable model
return chat(prompt, "anthropic/claude-3-haiku")
result = smart_chat("What is 2+2?")
print(result)
Free Models on OpenRouter
| Model | Context | Notes |
|---|---|---|
| google/gemini-flash-1.5 | 1M tokens | Best free option |
| meta-llama/llama-3.2-3b | 128K | Fast responses |
| qwen/qwen-2-7b | 128K | Good coding |
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