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ModelCap

Model decision surface

Compare AI models

Start with Nemotron Research GooseReason 4B Instruct and QwQ 32B, 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

Nemotron Research GooseReason 4B Instruct vs QwQ 32B

Live dataset updated 9/15/2026, 8:34:26 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Nemotron Research GooseReason 4B Instruct and QwQ 32B
Field
ModelCap position#152#151
Index score31.231.5
EvidenceInheritedfinetune of Qwen/Qwen3-4B-Instruct-2507 · finetune (100%)Measured1 public benchmark observation across 1 board
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessRestricted licenseOpen weights

Decision facts

  • Nemotron Research GooseReason 4B Instruct is #152; QwQ 32B is #151 on the same current language board.
  • Index scores are 31.2 for Nemotron Research GooseReason 4B Instruct and 31.5 for QwQ 32B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Nemotron Research GooseReason 4B Instruct is Inherited; QwQ 32B is Measured.
  • Weight access differs: Nemotron Research GooseReason 4B Instruct is restricted; QwQ 32B is open.

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.