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ModelCap

Model decision surface

Compare AI models

Start with GKA primed HQwen3 32B Instruct and Nova Pro 1.0, 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

GKA primed HQwen3 32B Instruct vs Nova Pro 1.0

Live dataset updated 9/9/2026, 8:46:14 PM UTC

Open 1200×630 evidence receipt
Factual comparison of GKA primed HQwen3 32B Instruct and Nova Pro 1.0
Field
ModelCap position#124#148
Index score32.818.4
EvidenceInheritedfinetune of qwen/qwen3-32b · finetune (100%)Measured2 public benchmark observations across 2 boards
Input / 1MUnavailable$0.80
Output / 1MUnavailable$3.20
Pricing statusunavailablefresh
Context300K
Providers01
Weight accessOpen weightsAPI only

Decision facts

  • GKA primed HQwen3 32B Instruct is #124; Nova Pro 1.0 is #148 on the same current language board.
  • Index scores are 32.8 for GKA primed HQwen3 32B Instruct and 18.4 for Nova Pro 1.0. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: GKA primed HQwen3 32B Instruct is Inherited; Nova Pro 1.0 is Measured.
  • Weight access differs: GKA primed HQwen3 32B Instruct is open; Nova Pro 1.0 is none.
  • ModelCap currently lists 0 providers for GKA primed HQwen3 32B Instruct and 1 for Nova Pro 1.0.

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.