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ModelCap

Model decision surface

Compare AI models

Start with Nemotron 3.5 Lightning and Qwen3.5-9B, 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

Nemotron 3.5 Lightning vs Qwen3.5-9B

Live dataset updated 9/3/2026, 5:19:04 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Nemotron 3.5 Lightning and Qwen3.5-9B
Field
ModelCap position#84#87
Index score31.229.0
EvidenceMeasured1 public benchmark observation across 1 boardMeasured1 public benchmark observation across 1 board
Input / 1M$0.08$0.10
Output / 1M$0.20$0.15
Pricing statusfreshfresh
Context262K262K
Providers25
Weight accessRestricted licenseOpen weights

Decision facts

  • Nemotron 3.5 Lightning is #84; Qwen3.5-9B is #87 on the same current language board.
  • Index scores are 31.2 for Nemotron 3.5 Lightning and 29.0 for Qwen3.5-9B.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.20 for Nemotron 3.5 Lightning and $0.15 for Qwen3.5-9B.
  • Published context is 262,144 tokens for Nemotron 3.5 Lightning and 262,144 for Qwen3.5-9B.
  • Weight access differs: Nemotron 3.5 Lightning is restricted; Qwen3.5-9B is open.
  • ModelCap currently lists 2 providers for Nemotron 3.5 Lightning and 5 for Qwen3.5-9B.

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.