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ModelCap

Model decision surface

Compare AI models

Start with Gemma 3 12B 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

Gemma 3 12B vs Nemotron 3.5 Lightning

Live dataset updated 9/15/2026, 8:34:26 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 3 12B and Nemotron 3.5 Lightning
Field
ModelCap position#155#103
Index score30.943.4
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$0.05$0.08
Output / 1M$0.15$0.20
Pricing statusfreshfresh
Context131K262K
Providers14
Weight accessGated accessRestricted license

Decision facts

  • Gemma 3 12B is #155; Nemotron 3.5 Lightning is #103 on the same current language board.
  • Index scores are 30.9 for Gemma 3 12B and 43.4 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 $0.15 for Gemma 3 12B 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 $0.17 for Gemma 3 12B versus $0.26 for Nemotron 3.5 Lightning. Gemma 3 12B costs 32.7% 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 131,072 tokens for Gemma 3 12B and 262,144 for Nemotron 3.5 Lightning.
  • Weight access differs: Gemma 3 12B is gated; Nemotron 3.5 Lightning is restricted.
  • ModelCap currently lists 1 providers for Gemma 3 12B 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.