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ModelCap

Model decision surface

Compare AI models

Start with Codestral 2508 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

Codestral 2508 vs Voxtral Small 24B 2507

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

Open 1200×630 evidence receipt
Factual comparison of Codestral 2508 and Voxtral Small 24B 2507
Field
Codestral 2508

Mistral AI

ModelCap position#226#228
Index score0.00.0
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.30$0.10
Output / 1M$0.90$0.30
Pricing statusfreshfresh
Context256K32K
Providers11
Weight accessAPI onlyOpen weights

Decision facts

  • Codestral 2508 is #226; Voxtral Small 24B 2507 is #228 on the same current language board.
  • Index scores are 0.0 for Codestral 2508 and 0.0 for Voxtral Small 24B 2507.
  • Both positions use Estimated evidence.
  • Listed output price per 1M tokens is $0.90 for Codestral 2508 and $0.30 for Voxtral Small 24B 2507.
  • Published context is 256,000 tokens for Codestral 2508 and 32,000 for Voxtral Small 24B 2507.
  • Weight access differs: Codestral 2508 is none; Voxtral Small 24B 2507 is open.

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.