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ModelCap

Model decision surface

Compare AI models

Start with Nex-N2-Mini and GPT-5.6 Terra, 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 GPT-5.6 Terra

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

Open 1200×630 evidence receipt
Factual comparison of Nex-N2-Mini and GPT-5.6 Terra
Field
ModelCap position#25#12
Index score63.573.7
EvidenceEstimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimismMeasured6 public benchmark observations across 6 boards
Input / 1M$0.025$2.00
Output / 1M$0.10$12.00
Pricing statusfreshfresh
Context262K1M
Providers13
Weight accessOpen weightsAPI only

Decision facts

  • Nex-N2-Mini is #25; GPT-5.6 Terra is #12 on the same current language board.
  • Index scores are 63.5 for Nex-N2-Mini and 73.7 for GPT-5.6 Terra.
  • Evidence differs: Nex-N2-Mini is Estimated; GPT-5.6 Terra is Measured.
  • Listed output price per 1M tokens is $0.10 for Nex-N2-Mini and $12.00 for GPT-5.6 Terra.
  • Published context is 262,144 tokens for Nex-N2-Mini and 1,050,000 for GPT-5.6 Terra.
  • Weight access differs: Nex-N2-Mini is open; GPT-5.6 Terra is none.
  • ModelCap currently lists 1 providers for Nex-N2-Mini and 3 for GPT-5.6 Terra.

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.