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ModelCap

Model decision surface

Compare AI models

Start with Nex-N2-Pro and Qwen3.5-122B-A10B, 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-Pro vs Qwen3.5-122B-A10B

Live dataset updated 9/3/2026, 3:17:25 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Nex-N2-Pro and Qwen3.5-122B-A10B
Field
Nex-N2-Pro

Nex AGI

ModelCap position#33#43
Index score59.953.3
EvidenceMeasured1 public benchmark observation across 1 boardMeasured3 public benchmark observations across 3 boards
Input / 1M$0.25$0.29
Output / 1M$1.00$2.40
Pricing statusfreshfresh
Context262K262K
Providers25
Weight accessOpen weightsOpen weights

Decision facts

  • Nex-N2-Pro is #33; Qwen3.5-122B-A10B is #43 on the same current language board.
  • Index scores are 59.9 for Nex-N2-Pro and 53.3 for Qwen3.5-122B-A10B.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $1.00 for Nex-N2-Pro and $2.40 for Qwen3.5-122B-A10B.
  • Published context is 262,144 tokens for Nex-N2-Pro and 262,144 for Qwen3.5-122B-A10B.
  • ModelCap currently lists 2 providers for Nex-N2-Pro and 5 for Qwen3.5-122B-A10B.

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.