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Chiplab vs Token Cut

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Chiplab compared with Token Cut
DetailChiplab logo ChiplabToken Cut logo Token Cut
What it doesThe API between AI agents and silicon Intelligent model routing that cuts LLM token costs and latency
StageNot given Not given
Founded2023 Not given
Based inDE Not given
Pricing modelFreemium Paid
PricingFree tier: 1,000 credits per day, resets every 24 hours. Pay-as-you-do: €10 per 1,000 credits. Enterprise: Custom pricing with volume commit, on-prem, and SLAs. 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
Key features
  • Compile firmware against production toolchains remotely without installation
  • Execute firmware on virtual chip instances with verdict, trace, and register state
  • Unit and integration testing on virtual hardware with coverage reports
  • Inject synthetic sensor data into running firmware
  • Query collective embedded corpus for chip-specific solutions
  • Support for Rust, C, and multiple RTOS frameworks
  • 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
What makes it different
  • Virtual instances of actual target chips, not generic CPU emulation, with same binary, peripherals, and interrupt timing as physical boards
  • Shared corpus that deepens with every call, allowing agents to inherit knowledge from previous runs
  • Eliminates need for physical hardware for testing, porting, and debugging
  • Single MCP endpoint exposes cross-compilation, peripheral simulation, sensor IO, and chip-specific plumbing
  • Access to licensed toolchains on demand without local installation
  • 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
Community votes00
DR (Domain Rating by Ahrefs)29 no change since last check5 no change since last check
Trust Flow (Majestic)54
Citation Flow (Majestic)2719
Referring domains (Majestic)11711

5 details filled in for both companies.

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