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ModelCap

Model decision surface

Compare AI models

Start with Command A+ and Nemotron 3.5 Lightning, 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

Command A+ vs Nemotron 3.5 Lightning

Live dataset updated 9/23/2026, 2:26:54 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Command A+ and Nemotron 3.5 Lightning
Field
ModelCap position#87#88
Index score56.356.0
EvidenceMeasured1 public benchmark observation across 1 boardMeasured1 public benchmark observation across 1 board
Input / 1M$0.30$0.07
Output / 1M$1.50$0.20
Pricing statusfreshfresh
Context192K262K
Providers14
Weight accessAPI onlyRestricted license

Decision facts

  • Command A+ is #87; Nemotron 3.5 Lightning is #88 on the same current language board.
  • Index scores are 56.3 for Command A+ and 56.0 for Nemotron 3.5 Lightning. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $1.50 for Command A+ and $0.20 for Nemotron 3.5 Lightning. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.35 for Command A+ versus $0.24 for Nemotron 3.5 Lightning. Nemotron 3.5 Lightning costs 82.2% 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 192,000 tokens for Command A+ and 262,144 for Nemotron 3.5 Lightning.
  • Weight access differs: Command A+ is none; Nemotron 3.5 Lightning is restricted.
  • ModelCap currently lists 1 providers for Command A+ and 4 for Nemotron 3.5 Lightning.

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.