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ModelCap

Model decision surface

Compare AI models

Start with Qwen3.5 4B and Qwen3 Coder Next, 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 Qwen3 Coder Next

Live dataset updated 9/10/2026, 3:47:06 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Qwen3.5 4B and Qwen3 Coder Next
Field
ModelCap position#113#112
Index score38.838.9
EvidenceEstimatedpublisher-corpus-prior over 184 held-out anchors (26%); launch card against 3 resolved peers on 10 rows (74%); exceeds every named peer on 2 of 10 rows; optimism haircut 0.6 from cross-lab-probe; shrunk 4.1 up toward the measured corpusMeasured1 public benchmark observation across 1 board
Input / 1MUnavailable$0.12
Output / 1MUnavailable$0.80
Pricing statusunavailablefresh
Context—262K
Providers04
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen3.5 4B is #113; Qwen3 Coder Next is #112 on the same current language board.
  • Index scores are 38.8 for Qwen3.5 4B and 38.9 for Qwen3 Coder Next. 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; Qwen3 Coder Next is Measured.
  • ModelCap currently lists 0 providers for Qwen3.5 4B and 4 for Qwen3 Coder Next.

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.