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ModelCap

Model decision surface

Compare AI models

Start with Qwen3.5 4B and Qwen3 VL 4B 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

Qwen3.5 4B vs Qwen3 VL 4B Instruct

Live dataset updated 10/7/2026, 6:44:04 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Qwen3.5 4B and Qwen3 VL 4B Instruct
Field
ModelCap position#141#206
Index score43.132.3
EvidenceEstimatedpublisher-corpus-prior over 210 held-out anchors (29%); launch card against 3 resolved peers on 10 rows (71%); exceeds every named peer on 2 of 10 rows; optimism haircut 0.6 from cross-lab-probe; shrunk 3.7 up toward the measured corpusEstimated3 reported rows against measured corpus ladders (61%); publisher-corpus-prior over 210 held-out anchors (39%); shrunk 12.5 up toward the measured corpus
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen3.5 4B is #141; Qwen3 VL 4B Instruct is #206 on the same current language board.
  • Index scores are 43.1 for Qwen3.5 4B and 32.3 for Qwen3 VL 4B Instruct. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Both positions use Estimated evidence.

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.