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ModelCap

Model decision surface

Compare AI models

Start with Qwen1.5 32B Chat and Qwen3.5 4B, 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 Qwen3.5 4B

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

Open 1200×630 evidence receipt
Factual comparison of Qwen1.5 32B Chat and Qwen3.5 4B
Field
ModelCap position#232#126
Index score9.945.3
EvidenceMeasured2 public benchmark observations across 2 boardsEstimatedpublisher-corpus-prior over 215 held-out anchors (22%); launch card against 3 resolved peers on 10 rows (78%); exceeds every named peer on 2 of 10 rows; optimism haircut 0.6 from cross-lab-probe; shrunk 3.1 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; Qwen3.5 4B is #126 on the same current language board.
  • Index scores are 9.9 for Qwen1.5 32B Chat and 45.3 for Qwen3.5 4B. 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; Qwen3.5 4B is Estimated.
  • Weight access differs: Qwen1.5 32B Chat is restricted; Qwen3.5 4B 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.