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ModelCap

Model decision surface

Compare AI models

Start with Llama 4 Scout and Nemotron 3 Nano 30B A3B, 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

Llama 4 Scout vs Nemotron 3 Nano 30B A3B

Live dataset updated 9/15/2026, 9:19:37 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Llama 4 Scout and Nemotron 3 Nano 30B A3B
Field
ModelCap position#162#168
Index score27.023.7
EvidenceMeasured4 public benchmark observations across 4 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$0.10$0.05
Output / 1M$0.30$0.20
Pricing statusfreshfresh
Context1.3M262K
Providers34
Weight accessGated accessRestricted license

Decision facts

  • Llama 4 Scout is #162; Nemotron 3 Nano 30B A3B is #168 on the same current language board.
  • Index scores are 27.0 for Llama 4 Scout and 23.7 for Nemotron 3 Nano 30B A3B. 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 $0.30 for Llama 4 Scout and $0.20 for Nemotron 3 Nano 30B A3B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.35 for Llama 4 Scout versus $0.20 for Nemotron 3 Nano 30B A3B. Nemotron 3 Nano 30B A3B costs 42.9% 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 1,310,720 tokens for Llama 4 Scout and 262,144 for Nemotron 3 Nano 30B A3B.
  • Weight access differs: Llama 4 Scout is gated; Nemotron 3 Nano 30B A3B is restricted.
  • ModelCap currently lists 3 providers for Llama 4 Scout and 4 for Nemotron 3 Nano 30B A3B.

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.