Intelligent model routing that cuts LLM token costs and latency
Open-source price index for GPU compute updated every 15 minutes
Stage
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Founded
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Based in
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Pricing model
Paid
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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
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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
Open-source repository with collector and calculation code
MCP interface for autonomous agents, anonymous and read-only
Covers H100, H200, B200, and B300 GPU models
Fully transparent methodology with published parameters
Verifiable and reproducible calculations from public record
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
First open-source price index for GPU compute with fully transparent methodology
Data, method, and code are all public and verifiable
Resistant to manipulation and outliers through interquantile mean voting
Fault-tolerant design that maintains integrity when sources fail or vanish
Updated every 15 minutes with real-time data from published on-demand rates
Token Cut
Computable