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ModelCap

Model decision surface

Compare AI models

Start with Mistral Medium 3.5 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

Mistral Medium 3.5 vs Mistral Nemo

Live dataset updated 8/17/2026, 11:13:20 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Mistral Medium 3.5 and Mistral Nemo
Field
Mistral Nemo

Mistral AI

ModelCap position#40#227
Index score54.00.0
EvidenceMeasured4 public benchmark observations across 4 boardsEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1M$1.50$0.019
Output / 1M$7.50$0.03
Pricing statusfreshfresh
Context262K131K
Providers14
Weight accessAPI onlyOpen weights

Decision facts

  • Mistral Medium 3.5 is #40; Mistral Nemo is #227 on the same current language board.
  • Index scores are 54.0 for Mistral Medium 3.5 and 0.0 for Mistral Nemo.
  • Evidence differs: Mistral Medium 3.5 is Measured; Mistral Nemo is Estimated.
  • Listed output price per 1M tokens is $7.50 for Mistral Medium 3.5 and $0.03 for Mistral Nemo.
  • Published context is 262,144 tokens for Mistral Medium 3.5 and 131,072 for Mistral Nemo.
  • Weight access differs: Mistral Medium 3.5 is none; Mistral Nemo is open.
  • ModelCap currently lists 1 providers for Mistral Medium 3.5 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.