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Token Cut

Token Cut uses Jev model routing to send each prompt to the cheapest capable LLM, cutting token costs and latency.

Introduction

Token Cut: Intelligent LLM Model Routing

Token Cut is a service that reduces LLM token costs by routing each request through Jev, a TypeSafe decision model that classifies the task and selects the lowest-priced eligible model within your configured constraints. It provides a single API for text, image, video, and audio generation across multiple providers.

Key Features
  • Jev Model Routing: A small decision model (System One) that answers bounded questions (Choice, Score, Noul) to classify task capability needs.
  • Cost Optimization: Automatically routes to the cheapest model that meets capability, modality, context, provider, and budget requirements.
  • Unified API: One API key for four providers (OpenRouter, kie.ai, Replicate, fal.ai) covering text, image, video, and audio.
  • Budget Controls: Set budget limits, capability matching, provider selection, and transparent billing.
  • Savings Calculator: Estimate potential savings based on monthly LLM spend and expected provider savings.
  • Use Cases: Email/support triage, document classification, model routing, and gating review steps.
How It Works
  1. Understand: Jev classifies the task and estimates required capability.
  2. Match & Route: Filter by modality, context, and budget; choose the lowest-priced eligible route.
  3. Measure & Account: Record model, provider, routing confidence, usage, and cost.

Token Cut is ideal for developers and businesses looking to cut LLM costs without sacrificing quality, offering a transparent and automated routing layer.

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