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ModelCap

Model decision surface

Compare AI models

Start with Gemma 3 4B and Qwen2.5 Omni 7B, 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 4B vs Qwen2.5 Omni 7B

Live dataset updated 9/22/2026, 3:10:38 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 3 4B and Qwen2.5 Omni 7B
Field
ModelCap position#183#184
Index score22.121.3
EvidenceMeasured2 public benchmark observations across 2 boardsEstimatedpublisher-corpus-prior over 203 held-out anchors (24%); launch card against 2 resolved peers on 5 rows (76%); exceeds every named peer on 2 of 5 rows; optimism haircut 2.4 from cross-lab-probe; shrunk 10.1 up toward the measured corpus
Input / 1M$0.05Unavailable
Output / 1M$0.10Unavailable
Pricing statusfreshunavailable
Context131K—
Providers10
Weight accessGated accessRestricted license

Decision facts

  • Gemma 3 4B is #183; Qwen2.5 Omni 7B is #184 on the same current language board.
  • Index scores are 22.1 for Gemma 3 4B and 21.3 for Qwen2.5 Omni 7B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Gemma 3 4B is Measured; Qwen2.5 Omni 7B is Estimated.
  • Weight access differs: Gemma 3 4B is gated; Qwen2.5 Omni 7B is restricted.
  • ModelCap currently lists 1 providers for Gemma 3 4B and 0 for Qwen2.5 Omni 7B.

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.