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Model decision surface

Compare AI models

Start with Mistral Small 4 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

Mistral Small 4 vs Qwen2.5 VL 32B Instruct

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

Open 1200×630 evidence receipt
Factual comparison of Mistral Small 4 and Qwen2.5 VL 32B Instruct
Field
Mistral Small 4

Mistral AI

ModelCap position#117#118
Index score40.740.5
EvidenceMeasured1 public benchmark observation across 1 boardEstimatedpublisher-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 corpus
Input / 1M$0.15Unavailable
Output / 1M$0.60Unavailable
Pricing statusfreshunavailable
Context262K—
Providers20
Weight accessOpen weightsOpen weights

Decision facts

  • Mistral Small 4 is #117; Qwen2.5 VL 32B Instruct is #118 on the same current language board.
  • Index scores are 40.7 for Mistral Small 4 and 40.5 for Qwen2.5 VL 32B Instruct. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Mistral Small 4 is Measured; Qwen2.5 VL 32B Instruct is Estimated.
  • ModelCap currently lists 2 providers for Mistral Small 4 and 0 for Qwen2.5 VL 32B Instruct.

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.