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ModelCap

Model decision surface

Compare AI models

Start with Llama 4 Maverick and Llama 4 Scout, 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 Maverick vs Llama 4 Scout

Live dataset updated 9/22/2026, 10:37:09 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Llama 4 Maverick and Llama 4 Scout
Field
ModelCap position#167#171
Index score32.230.2
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$0.188$0.10
Output / 1M$0.652$0.30
Pricing statusfreshfresh
Context1M1.3M
Providers53
Weight accessGated accessGated access

Decision facts

  • Llama 4 Maverick is #167; Llama 4 Scout is #171 on the same current language board.
  • Index scores are 32.2 for Llama 4 Maverick and 30.2 for Llama 4 Scout. 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 $0.65 for Llama 4 Maverick and $0.30 for Llama 4 Scout. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.70 for Llama 4 Maverick versus $0.35 for Llama 4 Scout. Llama 4 Scout costs 50.1% 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 1,048,576 tokens for Llama 4 Maverick and 1,310,720 for Llama 4 Scout.
  • ModelCap currently lists 5 providers for Llama 4 Maverick and 3 for Llama 4 Scout.

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.