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Model decision surface

Compare AI models

Start with Mistral Nemo and Voxtral Small 24B 2507, 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 Nemo vs Voxtral Small 24B 2507

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

Open 1200×630 evidence receipt
Factual comparison of Mistral Nemo and Voxtral Small 24B 2507
Field
Mistral Nemo

Mistral AI

ModelCap position#227#228
Index score0.00.0
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.019$0.10
Output / 1M$0.03$0.30
Pricing statusfreshfresh
Context131K32K
Providers41
Weight accessOpen weightsOpen weights

Decision facts

  • Mistral Nemo is #227; Voxtral Small 24B 2507 is #228 on the same current language board.
  • Index scores are 0.0 for Mistral Nemo and 0.0 for Voxtral Small 24B 2507.
  • Both positions use Estimated evidence.
  • Listed output price per 1M tokens is $0.03 for Mistral Nemo and $0.30 for Voxtral Small 24B 2507.
  • Published context is 131,072 tokens for Mistral Nemo and 32,000 for Voxtral Small 24B 2507.
  • ModelCap currently lists 4 providers for Mistral Nemo and 1 for Voxtral Small 24B 2507.

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.