Conifer
Route queries dynamically across local hardware and cloud AI model providers
Pricing model
Free Tier
Rating
★ People love it
Time to value
Quick Setup (< 1 hour)
You can use Conifer to run artificial intelligence models locally while routing complex tasks to cloud providers. It functions as a gateway to over two hundred models, including open-weight options like DeepSeek and Llama, alongside proprietary systems. The system dynamically chooses the ideal model, provider, harness, and caching strategy for every prompt to minimize costs without sacrificing output quality. You can connect your existing developer environments like VS Code and Cursor, run local inference for free, or bring your own cloud API keys.
What Conifer does
Pricing breakdown
Pricing model: Free tier
Tutorials & Demos
Frequently asked
ZedWant a tailored answer?
See whether Conifer fits your stack.
Techbible weighs Conifer against what you already pay for, your team shape, and the work that's actually happening. Free to start.
Side by side
Compare Conifer
Search the catalog or pick a similar tool to compare pricing, features, and fit.
Or pick from similar tools
More in AI Orchestration & MLOps
All tools →CrewAI
Build and run autonomous multi-agent workflows using visual canvases or Python code
Arize AI
Monitor, trace, and evaluate large language model applications
PySpur
Build, test, and deploy AI agent workflows using code or visual drag-and-drop interfaces
Twelve Labs
Enables developers to build applications that understand video.
AgentOps
Track, debug, and monitor AI agents and large language model interactions
Composio
Connect AI models and agents to external apps and developer tools
Weights & Biases
Helps AI developers track and manage machine learning experiments.
Buster
Build internal agents and automate complex company workflows