
Liquid Inference
LLM router where providers compete for every prompt
About Liquid Inference
Liquid Inference is an innovative LLM routing platform designed for developers and AI practitioners seeking cost-effective and flexible access to multiple large language models. It functions as a competitive marketplace where different AI providers vie for each prompt, dynamically adjusting prices to offer the lowest marginal cost. Fully compatible with popular agentic coding tools like Claude Code, Codex, OpenCode, Cursor, Pi, and Cline, it supports a wide array of multi-modal models, making it a versatile choice for complex AI workflows. Users can create custom routing rules or leverage auto-routing algorithms to optimize performance and cost-efficiency. With a user-friendly sign-up process that offers free inference credits and referral incentives, Liquid Inference aims to democratize access to AI models while fostering a competitive ecosystem that benefits end-users.
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Pros
- ✓Supports a broad range of open- and closed-weight models with multi-modal capabilities
- ✓Dynamic provider competition reduces costs for end-users
- ✓Flexible routing options with presets and auto-routing algorithms
- ✓Compatible with popular agentic coding tools for seamless integration
- ✓Referral program offers additional free inference credits
Cons
- ✗Limited information on specific model performance or latency
- ✗Current ProductHunt votes suggest limited user feedback or adoption
- ✗Potential complexity in managing routing rules for new users
Use Cases
Pricing
Pricing not verified
Quick Info
Topics
Makers
Brett Harrison
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