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ModelCap

Model decision surface

Compare AI models

Start with Gemma 3 4B and Mistral Nemo, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.

Current public data

Gemma 3 4B vs Mistral Nemo

Live dataset updated 8/18/2026, 3:36:20 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 3 4B and Mistral Nemo
Field
Mistral Nemo

Mistral AI

ModelCap position#197#230
Index score10.90.0
EvidenceMeasured3 public benchmark observations across 3 boardsEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.05$0.019
Output / 1M$0.10$0.03
Pricing statusfreshfresh
Context131K131K
Providers14
Weight accessGated accessOpen weights

Decision facts

  • Gemma 3 4B is #197; Mistral Nemo is #230 on the same current language board.
  • Index scores are 10.9 for Gemma 3 4B and 0.0 for Mistral Nemo.
  • Evidence differs: Gemma 3 4B is Measured; Mistral Nemo is Estimated.
  • Listed output price per 1M tokens is $0.10 for Gemma 3 4B and $0.03 for Mistral Nemo.
  • Published context is 131,072 tokens for Gemma 3 4B and 131,072 for Mistral Nemo.
  • Weight access differs: Gemma 3 4B is gated; Mistral Nemo is open.
  • ModelCap currently lists 1 providers for Gemma 3 4B and 4 for Mistral Nemo.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.

Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.