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ModelCap

Model decision surface

Compare AI models

Start with Qwen2.5 VL 32B Instruct 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

Qwen2.5 VL 32B Instruct vs Qwen3 Coder Next

Live dataset updated 9/17/2026, 7:03:55 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Qwen2.5 VL 32B Instruct and Qwen3 Coder Next
Field
ModelCap position#118#121
Index score40.939.4
EvidenceEstimatedpublisher-corpus-prior over 197 held-out anchors (17%); launch card against 2 resolved peers on 4 rows (83%); exceeds every named peer on 2 of 4 rows; optimism haircut 0 from cross-lab-probe; shrunk 2 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

  • Qwen2.5 VL 32B Instruct is #118; Qwen3 Coder Next is #121 on the same current language board.
  • Index scores are 40.9 for Qwen2.5 VL 32B Instruct and 39.4 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: Qwen2.5 VL 32B Instruct is Estimated; Qwen3 Coder Next is Measured.
  • ModelCap currently lists 0 providers for Qwen2.5 VL 32B Instruct 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.