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ModelCap

Model decision surface

Compare AI models

Start with Nemotron 3.5 Lightning and Laguna XS 2.1, 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 Laguna XS 2.1

Live dataset updated 9/19/2026, 11:04:59 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Nemotron 3.5 Lightning and Laguna XS 2.1
Field
ModelCap position#82#79
Index score51.953.8
EvidenceMeasured1 public benchmark observation across 1 boardEstimated3 reported rows against measured corpus ladders (47%); global-corpus-prior over 195 held-out anchors (53%); shrunk 1.3 toward the measured corpus
Input / 1M$0.07$0.06
Output / 1M$0.20$0.12
Pricing statusfreshfresh
Context262K262K
Providers41
Weight accessRestricted licenseRestricted license

Decision facts

  • Nemotron 3.5 Lightning is #82; Laguna XS 2.1 is #79 on the same current language board.
  • Index scores are 51.9 for Nemotron 3.5 Lightning and 53.8 for Laguna XS 2.1. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Nemotron 3.5 Lightning is Measured; Laguna XS 2.1 is Estimated.
  • Listed output price per 1M tokens is $0.20 for Nemotron 3.5 Lightning and $0.12 for Laguna XS 2.1. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.24 for Nemotron 3.5 Lightning versus $0.18 for Laguna XS 2.1. Laguna XS 2.1 costs 25.0% 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 262,144 tokens for Nemotron 3.5 Lightning and 262,144 for Laguna XS 2.1.
  • ModelCap currently lists 4 providers for Nemotron 3.5 Lightning and 1 for Laguna XS 2.1.

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.