Intelligent model routing that cuts LLM token costs and latency
Local LLM hardware benchmarks with measured tokens per second from real home AI rigs
Stage
Not given
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Founded
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Based in
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Pricing model
Paid
Free
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
172 real home AI builds with measured performance data
Performance metrics for 31 current LLM models
Search by GPU, VRAM, budget and target model
VRAM and KV cache calculator
All results linked to original public sources
Comparison guides and hardware recommendations
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
Real measured performance data from 172 actual home AI rigs, not marketing claims
Every benchmark result linked to its original public source for verification
Open data under Creative Commons license
Practical guides for choosing AI hardware by budget and model
Token Cut
RigBase