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ModelCap

Model decision surface

Compare AI models

Start with Claude Opus 5.5 and Nex-N2.5-Pro, 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

Claude Opus 5.5 vs Nex-N2.5-Pro

Live dataset updated 9/22/2026, 10:37:09 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Claude Opus 5.5 and Nex-N2.5-Pro
Field
ModelCap position#1#22
Index score98.679.7
EvidenceMeasured2 public benchmark observations across 2 boardsEstimatedglobal-corpus-prior over 209 held-out anchors (8%); launch card against 8 resolved peers on 8 rows (92%); exceeds every named peer on 1 of 8 rows; optimism haircut 0 from cross-lab-probe; shrunk 2 toward the measured corpus
Input / 1M$4.00$0.075
Output / 1M$20.00$0.25
Pricing statusfreshfresh
Context1M262K
Providers51
Weight accessAPI onlyOpen weights

Decision facts

  • Claude Opus 5.5 is #1; Nex-N2.5-Pro is #22 on the same current language board.
  • Index scores are 98.6 for Claude Opus 5.5 and 79.7 for Nex-N2.5-Pro. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Claude Opus 5.5 is Measured; Nex-N2.5-Pro is Estimated.
  • Listed output price per 1M tokens is $20.00 for Claude Opus 5.5 and $0.25 for Nex-N2.5-Pro. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $18.00 for Claude Opus 5.5 versus $0.28 for Nex-N2.5-Pro. Nex-N2.5-Pro costs 98.5% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
  • Published context is 1,000,000 tokens for Claude Opus 5.5 and 262,144 for Nex-N2.5-Pro.
  • Weight access differs: Claude Opus 5.5 is none; Nex-N2.5-Pro is open.
  • ModelCap currently lists 5 providers for Claude Opus 5.5 and 1 for Nex-N2.5-Pro.

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.