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ModelCap

Model decision surface

Compare AI models

Start with Qwen3 4B Instruct 2507 and QwQ 32B, 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 4B Instruct 2507 vs QwQ 32B

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

Open 1200×630 evidence receipt
Factual comparison of Qwen3 4B Instruct 2507 and QwQ 32B
Field
ModelCap position#149#151
Index score32.331.5
EvidenceEstimatedpublisher-corpus-prior over 194 held-out anchors (19%); launch card against 2 resolved peers on 9 rows (81%); exceeds every named peer on 7 of 9 rows; no cross-lab optimism probe available; shrunk 4.1 up toward the measured corpusMeasured1 public benchmark observation across 1 board
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context262K—
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen3 4B Instruct 2507 is #149; QwQ 32B is #151 on the same current language board.
  • Index scores are 32.3 for Qwen3 4B Instruct 2507 and 31.5 for QwQ 32B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Qwen3 4B Instruct 2507 is Estimated; QwQ 32B is Measured.

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.