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ModelCap

Model decision surface

Compare AI models

Start with gemma 3n E2B it and Qwen2.5 72B Instruct, 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 3n E2B it vs Qwen2.5 72B Instruct

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

Open 1200×630 evidence receipt
Factual comparison of gemma 3n E2B it and Qwen2.5 72B Instruct
Field
ModelCap position#162#164
Index score22.521.1
EvidenceInheritedfinetune of google/gemma-3n-E4B-it · finetune (100%)Measured2 public benchmark observations across 2 boards
Input / 1MUnavailable$0.36
Output / 1MUnavailable$0.40
Pricing statusunavailablefresh
Context—33K
Providers02
Weight accessGated accessRestricted license

Decision facts

  • gemma 3n E2B it is #162; Qwen2.5 72B Instruct is #164 on the same current language board.
  • Index scores are 22.5 for gemma 3n E2B it and 21.1 for Qwen2.5 72B Instruct. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: gemma 3n E2B it is Inherited; Qwen2.5 72B Instruct is Measured.
  • Weight access differs: gemma 3n E2B it is gated; Qwen2.5 72B Instruct is restricted.
  • ModelCap currently lists 0 providers for gemma 3n E2B it and 2 for Qwen2.5 72B Instruct.

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.