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ModelCap

Model decision surface

Compare AI models

Start with Qwen2.5 VL 32B Instruct and UI Mate 9B, 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

Qwen2.5 VL 32B Instruct vs UI Mate 9B

Live dataset updated 9/15/2026, 9:19:37 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Qwen2.5 VL 32B Instruct and UI Mate 9B
Field
UI Mate 9B

Tencent

ModelCap position#118#115
Index score40.540.9
EvidenceEstimatedpublisher-corpus-prior over 194 held-out anchors (18%); launch card against 2 resolved peers on 4 rows (82%); exceeds every named peer on 2 of 4 rows; optimism haircut 0 from cross-lab-probe; shrunk 2.1 up toward the measured corpusInheritedfinetune of qwen/qwen3.5-9b · finetune (100%)
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen2.5 VL 32B Instruct is #118; UI Mate 9B is #115 on the same current language board.
  • Index scores are 40.5 for Qwen2.5 VL 32B Instruct and 40.9 for UI Mate 9B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Qwen2.5 VL 32B Instruct is Estimated; UI Mate 9B is Inherited.

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.