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Model decision surface

Compare AI models

Start with Codestral 2508 and Mixtral 8x22B Instruct, 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 Mixtral 8x22B Instruct

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

Open 1200×630 evidence receipt
Factual comparison of Codestral 2508 and Mixtral 8x22B Instruct
Field
Codestral 2508

Mistral AI

ModelCap position#226#203
Index score0.05.6
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedMeasured2 public benchmark observations across 2 boards
Input / 1M$0.30$2.00
Output / 1M$0.90$6.00
Pricing statusfreshfresh
Context256K66K
Providers11
Weight accessAPI onlyOpen weights

Decision facts

  • Codestral 2508 is #226; Mixtral 8x22B Instruct is #203 on the same current language board.
  • Index scores are 0.0 for Codestral 2508 and 5.6 for Mixtral 8x22B Instruct.
  • Evidence differs: Codestral 2508 is Estimated; Mixtral 8x22B Instruct is Measured.
  • Listed output price per 1M tokens is $0.90 for Codestral 2508 and $6.00 for Mixtral 8x22B Instruct.
  • Published context is 256,000 tokens for Codestral 2508 and 65,536 for Mixtral 8x22B Instruct.
  • Weight access differs: Codestral 2508 is none; Mixtral 8x22B Instruct 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.