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ModelCap

Model decision surface

Compare AI models

Start with Gemma 4 31B and Nex-N2-Mini, 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

Gemma 4 31B vs Nex-N2-Mini

Live dataset updated 8/17/2026, 11:13:20 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 4 31B and Nex-N2-Mini
Field
ModelCap position#30#25
Index score60.063.5
EvidenceMeasured4 public benchmark observations across 4 boardsEstimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimism
Input / 1M$0.10$0.025
Output / 1M$0.34$0.10
Pricing statusfreshfresh
Context262K262K
Providers161
Weight accessOpen weightsOpen weights

Decision facts

  • Gemma 4 31B is #30; Nex-N2-Mini is #25 on the same current language board.
  • Index scores are 60.0 for Gemma 4 31B and 63.5 for Nex-N2-Mini.
  • Evidence differs: Gemma 4 31B is Measured; Nex-N2-Mini is Estimated.
  • Listed output price per 1M tokens is $0.34 for Gemma 4 31B and $0.10 for Nex-N2-Mini.
  • Published context is 262,144 tokens for Gemma 4 31B and 262,144 for Nex-N2-Mini.
  • ModelCap currently lists 16 providers for Gemma 4 31B and 1 for Nex-N2-Mini.

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.