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ModelCap

Model decision surface

Compare AI models

Start with Nex-N2-Mini and Qwen3.5 397B A17B, 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

Nex-N2-Mini vs Qwen3.5 397B A17B

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

Open 1200×630 evidence receipt
Factual comparison of Nex-N2-Mini and Qwen3.5 397B A17B
Field
ModelCap position#25#27
Index score63.562.3
EvidenceEstimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimismMeasured3 public benchmark observations across 3 boards
Input / 1M$0.025$0.39
Output / 1M$0.10$2.34
Pricing statusfreshfresh
Context262K262K
Providers111
Weight accessOpen weightsOpen weights

Decision facts

  • Nex-N2-Mini is #25; Qwen3.5 397B A17B is #27 on the same current language board.
  • Index scores are 63.5 for Nex-N2-Mini and 62.3 for Qwen3.5 397B A17B.
  • Evidence differs: Nex-N2-Mini is Estimated; Qwen3.5 397B A17B is Measured.
  • Listed output price per 1M tokens is $0.10 for Nex-N2-Mini and $2.34 for Qwen3.5 397B A17B.
  • Published context is 262,144 tokens for Nex-N2-Mini and 262,144 for Qwen3.5 397B A17B.
  • ModelCap currently lists 1 providers for Nex-N2-Mini and 11 for Qwen3.5 397B A17B.

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.