Capability · Framework — orchestration
OpenRouter
OpenRouter is the easiest way to evaluate and mix many LLMs without signing up with every vendor. You top up credits once, and their unified endpoint routes requests to whichever model you pick — with live pricing, automatic fallbacks across providers, and a leaderboard of real-world usage that's become a de-facto benchmark of which models developers actually use.
Framework facts
- Category
- orchestration
- Language
- API (any client)
- License
- commercial
- Repository
- https://github.com/OpenRouterTeam
Install
# Works with any OpenAI-compatible SDK
pip install openai
# or
npm install openai Quickstart
from openai import OpenAI
client = OpenAI(
base_url='https://openrouter.ai/api/v1',
api_key='sk-or-...'
)
resp = client.chat.completions.create(
model='anthropic/claude-opus-4-7',
messages=[{'role': 'user', 'content': 'Explain MCP'}]
)
print(resp.choices[0].message.content) Alternatives
- LiteLLM — self-hosted SDK/proxy equivalent
- Portkey — adds guardrails and caching
- Together AI — hosts open-source models with its own router
- Requesty — newer AI request router
Frequently asked questions
Is OpenRouter cheaper than going direct?
For most models OpenRouter prices match the upstream provider, and they pass through promotions. You pay a small markup on some routes in exchange for unified billing, automatic fallback, and zero per-vendor signup friction.
Can I use it from agent frameworks?
Yes. Because it speaks OpenAI's API, LangChain, LlamaIndex, CrewAI, LangGraph, DSPy, and most other frameworks work with OpenRouter by setting the base URL and a model string like 'anthropic/claude-opus-4-7'.
Sources
- OpenRouter — docs — accessed 2026-04-20
- OpenRouter model list — accessed 2026-04-20