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ModelCap

Model decision surface

Compare AI models

Start with Gemma 3 27B 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

Gemma 3 27B vs Qwen3.5 4B

Live dataset updated 9/13/2026, 2:40:29 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 3 27B and Qwen3.5 4B
Field
ModelCap position#117#116
Index score37.738.7
EvidenceMeasured2 public benchmark observations across 2 boardsEstimatedpublisher-corpus-prior over 186 held-out anchors (26%); launch card against 3 resolved peers on 10 rows (74%); exceeds every named peer on 2 of 10 rows; optimism haircut 0.6 from cross-lab-probe; shrunk 4 up toward the measured corpus
Input / 1M$0.08Unavailable
Output / 1M$0.45Unavailable
Pricing statusfreshunavailable
Context131K—
Providers40
Weight accessGated accessOpen weights

Decision facts

  • Gemma 3 27B is #117; Qwen3.5 4B is #116 on the same current language board.
  • Index scores are 37.7 for Gemma 3 27B and 38.7 for Qwen3.5 4B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Gemma 3 27B is Measured; Qwen3.5 4B is Estimated.
  • Weight access differs: Gemma 3 27B is gated; Qwen3.5 4B is open.
  • ModelCap currently lists 4 providers for Gemma 3 27B and 0 for Qwen3.5 4B.

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.