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ModelCap

Model decision surface

Compare AI models

Start with Qwen3.5 0.8B 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

Qwen3.5 0.8B vs Qwen3.5 4B

Live dataset updated 10/5/2026, 6:14:38 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Qwen3.5 0.8B and Qwen3.5 4B
Field
ModelCap position#212#153
Index score34.544.0
EvidenceEstimated6 reported rows against measured corpus ladders (58%); publisher-corpus-prior over 231 held-out anchors (42%); shrunk 14 up toward the measured corpusEstimatedpublisher-corpus-prior over 231 held-out anchors (13%); launch card against 4 resolved peers on 11 rows (87%); optimism haircut 0.6 from cross-lab-probe; shrunk 1.5 up toward the measured corpus
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen3.5 0.8B is #212; Qwen3.5 4B is #153 on the same current language board.
  • Index scores are 34.5 for Qwen3.5 0.8B and 44.0 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.

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.