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ModelCap

Model decision surface

Compare AI models

Start with Gemma 3 27B and Qwen3 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

Gemma 3 27B vs Qwen3 32B

Live dataset updated 8/17/2026, 11:13:20 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 3 27B and Qwen3 32B
Field
ModelCap position#81#82
Index score29.929.6
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$0.08$0.08
Output / 1M$0.45$0.28
Pricing statusfreshfresh
Context262K131K
Providers54
Weight accessGated accessOpen weights

Decision facts

  • Gemma 3 27B is #81; Qwen3 32B is #82 on the same current language board.
  • Index scores are 29.9 for Gemma 3 27B and 29.6 for Qwen3 32B.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.45 for Gemma 3 27B and $0.28 for Qwen3 32B.
  • Published context is 262,144 tokens for Gemma 3 27B and 131,072 for Qwen3 32B.
  • Weight access differs: Gemma 3 27B is gated; Qwen3 32B is open.
  • ModelCap currently lists 5 providers for Gemma 3 27B and 4 for Qwen3 32B.

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.