Intelligent model routing that cuts LLM token costs and latency
Pick your AI model based on evaluation results, not intuition
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
US
Pricing model
Paid
Not given
Pricing
Pay-as-you-go with 1% service fee. Cheap Tasks: $0.000043–$0.000194 per reference request. Standard Tasks: $0.000225–$0.000838 per reference request. Reasoning Tasks: $0.00066–$0.0023 per reference request. Frontier Tasks: $0.0023–$0.0354 per reference request. Agentic Tasks: $0.0071–$0.0354 per ref
Not given
Key features
Automatic task classification with Jev decision model
Multi-provider model access (OpenRouter, Kie.ai, Replicate, fal.ai)
Lowest-price eligible model selection
Support for text, image, video and audio modalities
Budget limits and provider filtering
Transparent billing and cost tracking
Three question types: Choice, Score and Noul
Pay-as-you-go pricing with no subscription
Automatic model routing based on evaluation results
GitHub repository integration for eval workflows
Stores evidence of evaluation results
Automatic re-evaluation when new models are released
Dashboard for monitoring routes
MCP server integration with ChatGPT, Claude, and Cursor
Configurable evaluation checks and criteria
What makes it different
Jev decision model automatically matches tasks to appropriate capability tiers instead of fixed frontier model routing
Reduces costs by up to 43.9% on illustrative workloads compared to fixed-model routing
Single API key for four different providers with unified billing
Works with multiple modalities and use cases like triage, classification and gating
Test your own LLM applications against real models automatically
Routes requests to the best-performing model in real time
Automatically updates routing when new models are released
Keeps your eval results and configurations under your control
Token Cut
BenchRouter