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Model decision surface

Compare AI models

Start with Codestral 2508 and Mistral Small 3.2 24B, 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 Mistral Small 3.2 24B

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

Open 1200×630 evidence receipt
Factual comparison of Codestral 2508 and Mistral Small 3.2 24B
Field
Codestral 2508

Mistral AI

ModelCap position#226#78
Index score0.032.7
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedMeasured2 public benchmark observations across 2 boards
Input / 1M$0.30$0.094
Output / 1M$0.90$0.25
Pricing statusfreshfresh
Context256K256K
Providers13
Weight accessAPI onlyOpen weights

Decision facts

  • Codestral 2508 is #226; Mistral Small 3.2 24B is #78 on the same current language board.
  • Index scores are 0.0 for Codestral 2508 and 32.7 for Mistral Small 3.2 24B.
  • Evidence differs: Codestral 2508 is Estimated; Mistral Small 3.2 24B is Measured.
  • Listed output price per 1M tokens is $0.90 for Codestral 2508 and $0.25 for Mistral Small 3.2 24B.
  • Published context is 256,000 tokens for Codestral 2508 and 256,000 for Mistral Small 3.2 24B.
  • Weight access differs: Codestral 2508 is none; Mistral Small 3.2 24B is open.
  • ModelCap currently lists 1 providers for Codestral 2508 and 3 for Mistral Small 3.2 24B.

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.