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ModelCap

Model decision surface

Compare AI models

Start with Qwen3.5 4B and MiMo V2.6 Distill Qwen 9B, 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 4B vs MiMo V2.6 Distill Qwen 9B

Live dataset updated 9/22/2026, 10:37:09 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Qwen3.5 4B and MiMo V2.6 Distill Qwen 9B
Field
ModelCap position#124#121
Index score44.646.0
EvidenceEstimatedpublisher-corpus-prior over 209 held-out anchors (22%); launch card against 3 resolved peers on 10 rows (78%); exceeds every named peer on 2 of 10 rows; optimism haircut 0.6 from cross-lab-probe; shrunk 3.2 up toward the measured corpusInheritedfinetune of qwen/qwen3.5-9b · finetune (100%)
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen3.5 4B is #124; MiMo V2.6 Distill Qwen 9B is #121 on the same current language board.
  • Index scores are 44.6 for Qwen3.5 4B and 46.0 for MiMo V2.6 Distill Qwen 9B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Qwen3.5 4B is Estimated; MiMo V2.6 Distill Qwen 9B is Inherited.

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.