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ModelCap

Model decision surface

Compare AI models

Start with Saba and Qwen2.5 Coder 32B 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

Saba vs Qwen2.5 Coder 32B Instruct

Live dataset updated 9/3/2026, 3:06:08 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Saba and Qwen2.5 Coder 32B Instruct
Field
Saba

Mistral AI

ModelCap position#215#192
Index score0.011.0
EvidenceMeasured1 public benchmark observation across 1 boardMeasured3 public benchmark observations across 3 boards
Input / 1M$0.20$0.66
Output / 1M$0.60$1.00
Pricing statusfreshfresh
Context33K33K
Providers11
Weight accessAPI onlyOpen weights

Decision facts

  • Saba is #215; Qwen2.5 Coder 32B Instruct is #192 on the same current language board.
  • Index scores are 0.0 for Saba and 11.0 for Qwen2.5 Coder 32B Instruct.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.60 for Saba and $1.00 for Qwen2.5 Coder 32B Instruct.
  • Published context is 32,768 tokens for Saba and 32,768 for Qwen2.5 Coder 32B Instruct.
  • Weight access differs: Saba is none; Qwen2.5 Coder 32B 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.