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ModelCap

Model decision surface

Compare AI models

Start with Qwen2.5 Omni 3B 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

Qwen2.5 Omni 3B vs Qwen2.5 Omni 7B

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

Open 1200×630 evidence receipt
Factual comparison of Qwen2.5 Omni 3B and Qwen2.5 Omni 7B
Field
ModelCap position#200#184
Index score18.221.3
EvidenceEstimatedpublisher-corpus-prior over 203 held-out anchors (19%); launch card against 2 resolved peers on 5 rows (81%); exceeds every named peer on 1 of 5 rows; optimism haircut 2.4 from cross-lab-probe; shrunk 8.2 up toward the measured corpusEstimatedpublisher-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 / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessRestricted licenseRestricted license

Decision facts

  • Qwen2.5 Omni 3B is #200; Qwen2.5 Omni 7B is #184 on the same current language board.
  • Index scores are 18.2 for Qwen2.5 Omni 3B 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.
  • Both positions use Estimated evidence.

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.