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ModelCap

Model decision surface

Compare AI models

Start with Codestral 2508 and Saba, 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 Saba

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

Open 1200×630 evidence receipt
Factual comparison of Codestral 2508 and Saba
Field
Codestral 2508

Mistral AI

Saba

Mistral AI

ModelCap position#226#222
Index score0.00.0
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedMeasured1 public benchmark observation across 1 board
Input / 1M$0.30$0.20
Output / 1M$0.90$0.60
Pricing statusfreshfresh
Context256K33K
Providers11
Weight accessAPI onlyAPI only

Decision facts

  • Codestral 2508 is #226; Saba is #222 on the same current language board.
  • Index scores are 0.0 for Codestral 2508 and 0.0 for Saba.
  • Evidence differs: Codestral 2508 is Estimated; Saba is Measured.
  • Listed output price per 1M tokens is $0.90 for Codestral 2508 and $0.60 for Saba.
  • Published context is 256,000 tokens for Codestral 2508 and 32,768 for Saba.

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.