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ModelCap

Model decision surface

Compare AI models

Start with Qwen1.5 32B Chat and Qwen3 4B Instruct 2507, 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 4B Instruct 2507

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 4B Instruct 2507
Field
ModelCap position#232#154
Index score9.938.4
EvidenceMeasured2 public benchmark observations across 2 boardsEstimatedpublisher-corpus-prior over 215 held-out anchors (18%); launch card against 2 resolved peers on 9 rows (82%); exceeds every named peer on 7 of 9 rows; no cross-lab optimism probe available; shrunk 3.9 up toward the measured corpus
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context—262K
Providers00
Weight accessRestricted licenseOpen weights

Decision facts

  • Qwen1.5 32B Chat is #232; Qwen3 4B Instruct 2507 is #154 on the same current language board.
  • Index scores are 9.9 for Qwen1.5 32B Chat and 38.4 for Qwen3 4B Instruct 2507. 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 4B Instruct 2507 is Estimated.
  • Weight access differs: Qwen1.5 32B Chat is restricted; Qwen3 4B Instruct 2507 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.