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ModelCap

Model decision surface

Compare AI models

Start with Qwen2.5 Omni 7B 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

Qwen2.5 Omni 7B vs Qwen3.5 4B

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

Open 1200×630 evidence receipt
Factual comparison of Qwen2.5 Omni 7B and Qwen3.5 4B
Field
ModelCap position#184#124
Index score21.342.3
EvidenceEstimatedpublisher-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 corpusEstimatedpublisher-corpus-prior over 203 held-out anchors (21%); launch card against 3 resolved peers on 10 rows (79%); exceeds every named peer on 2 of 10 rows; optimism haircut 0.6 from cross-lab-probe; shrunk 3 up toward the measured corpus
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessRestricted licenseOpen weights

Decision facts

  • Qwen2.5 Omni 7B is #184; Qwen3.5 4B is #124 on the same current language board.
  • Index scores are 21.3 for Qwen2.5 Omni 7B and 42.3 for Qwen3.5 4B. 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.
  • Weight access differs: Qwen2.5 Omni 7B is restricted; Qwen3.5 4B is open.

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.