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Liquid Inference

Liquid Inference offers a competitive marketplace for AI requests, allowing providers to bid on price for each prompt. Users pay the lowest price that meets their specified requirements, ensuring cost-effective AI solutions.

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Liquid Inference screenshot
Liquid Inference screenshot

Liquid Inference is a platform designed to optimize the cost of AI requests by allowing providers to compete on price for every prompt. Users can set specific rules regarding the model, region, speed, and minimum quality, and the platform ensures that the cheapest provider meeting these criteria answers the request. This approach allows users to know the maximum cost of a request before it begins, and they are billed only for the tokens produced.

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The platform features an instant auction system where providers set their prices per token for each model and can adjust them based on supply and demand. This dynamic pricing model ensures that users always receive the most cost-effective solution available. Liquid Inference regularly tests providers with standard benchmarks and publishes the results, ensuring transparency and trust.

Liquid Inference supports major models like OpenAI and Anthropic APIs, allowing users to integrate seamlessly with their existing AI coding tools. Providers can register their deployments, set their own prices, and control their load by adjusting prices based on capacity. The platform charges its fee to the customer, not the provider, making it an attractive option for providers looking to sell inference on models they already run.

With features like itemized billing and public price history, users can download live and past prices for every model, enabling them to send work when prices are low. Liquid Inference is ideal for businesses and developers seeking to optimize their AI costs without compromising on quality.

  • CategoryMachine Learning Platforms
  • Pricing ModelDynamic
  • DeploymentCloud
  • PlatformsWeb

  • Competitive pricing for AI requests

  • Dynamic auction system

  • Provider benchmarking

  • Integration with OpenAI and Anthropic APIs

  • Itemized billing

  • Public price history

  • Support for major AI models

  • Provider-controlled pricing

  1. Create an account: Sign up on the platform

  2. Register deployment: Submit the model you want to serve

  3. Operator review: Get your deployment listed

  4. Start quoting: Connect your agent and begin offering prices

  • Cost Optimization
  • Dynamic Pricing
  • Quality Assurance
  • Seamless Integration
  • Provider Management

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