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ModelCap

Model decision surface

Compare AI models

Start with Qwen1.5 32B Chat and Qwen2.5 VL 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

Qwen1.5 32B Chat vs Qwen2.5 VL 32B Instruct

Live dataset updated 9/23/2026, 4:02:17 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Qwen1.5 32B Chat and Qwen2.5 VL 32B Instruct
Field
ModelCap position#232#124
Index score9.946.6
EvidenceMeasured2 public benchmark observations across 2 boardsEstimatedpublisher-corpus-prior over 215 held-out anchors (17%); launch card against 2 resolved peers on 4 rows (83%); exceeds every named peer on 2 of 4 rows; optimism haircut 0 from cross-lab-probe; shrunk 2 up toward the measured corpus
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessRestricted licenseOpen weights

Decision facts

  • Qwen1.5 32B Chat is #232; Qwen2.5 VL 32B Instruct is #124 on the same current language board.
  • Index scores are 9.9 for Qwen1.5 32B Chat and 46.6 for Qwen2.5 VL 32B Instruct. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
  • Evidence differs: Qwen1.5 32B Chat is Measured; Qwen2.5 VL 32B Instruct is Estimated.
  • Weight access differs: Qwen1.5 32B Chat is restricted; Qwen2.5 VL 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.