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ModelCap

Model decision surface

Compare AI models

Start with Mistral Medium 3.5 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

Mistral Medium 3.5 vs Saba

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

Open 1200×630 evidence receipt
Factual comparison of Mistral Medium 3.5 and Saba
Field
Saba

Mistral AI

ModelCap position#40#222
Index score54.00.0
EvidenceMeasured4 public benchmark observations across 4 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$1.50$0.20
Output / 1M$7.50$0.60
Pricing statusfreshfresh
Context262K33K
Providers11
Weight accessAPI onlyAPI only

Decision facts

  • Mistral Medium 3.5 is #40; Saba is #222 on the same current language board.
  • Index scores are 54.0 for Mistral Medium 3.5 and 0.0 for Saba.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $7.50 for Mistral Medium 3.5 and $0.60 for Saba.
  • Published context is 262,144 tokens for Mistral Medium 3.5 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.