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Liquid Inference
Liquid Inference is an auction exchange for LLM inference where providers compete to serve each request at the lowest price.
Liquid Inference is an auction exchange where providers compete on price for every AI request. Users send ordinary chat requests and set rules including model, region, speed, and minimum quality, and the cheapest provider that meets those requirements answers the request. Providers set their prices per token and change them based on supply and demand. The platform supports OpenAI Chat Completions and Anthropic Messages on one base URL so existing code works unchanged. It tests every provider regularly with standard benchmarks and publishes the results.
Liquid Inference at a glance
- Best for: Software engineer
- Runs on: API, Web
- Pricing: Free
- Released: October 2026
- Category: AI coding tool
- Website: liquidinference.ai
Key features
- Instant auctions for every request
- Routing controlled by user rules
- Price limits set before the first token
- Itemized billing for every request
- Public price history and live data
- Compatibility with OpenAI and Anthropic APIs
Use it for
- Send chat requests to the cheapest available provider
- Download live and past prices for models
- Sell inference on models you already run
- Set rules for model, region, speed, and quality
Alternatives to Liquid Inference
- LiteLLM — One OpenAI-format API for 100+ LLM providers
- OpenLLM — It simplifies infrastructure management and optimizes inference speed and cost.
- OptiLLM — Increases LLM reasoning accuracy by up to 10x without model training.
- WebLLM — Runs high-performance language models directly inside web browsers.
- oMLX — It uses paged SSD KV caching to reduce agent TTFT to under 5 seconds.
- AirLLM — Runs massive 70B+ parameter models on small 4GB consumer GPUs.
- llm-d — Deploys production-grade LLM serving on existing hardware clusters.
- Text Embeddings Inference — High-performance serving for open-source embedding models.
- Resin — Builds high-performance inference engines for complex models like DeepSeek and GLM.
- LightLLM — It delivers high-speed inference and serving performance for large language models.
- vLLM — Maximizes throughput with PagedAttention and continuous batching.
- Xinference — Supports a wide range of model types and hardware, including multi-node setups.
All Liquid Inference alternatives