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ModelCap

Model decision surface

Compare AI models

Start with Llama 4 Scout and Qwen3 4B Instruct 2507, 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 Qwen3 4B Instruct 2507

Live dataset updated 8/17/2026, 11:13:20 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Llama 4 Scout and Qwen3 4B Instruct 2507
Field
ModelCap position#104#103
Index score22.523.5
EvidenceMeasured4 public benchmark observations across 4 boardsEstimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimism
Input / 1M$0.10Unavailable
Output / 1M$0.30Unavailable
Pricing statusfreshunavailable
Context1.3M262K
Providers40
Weight accessGated accessOpen weights

Decision facts

  • Llama 4 Scout is #104; Qwen3 4B Instruct 2507 is #103 on the same current language board.
  • Index scores are 22.5 for Llama 4 Scout and 23.5 for Qwen3 4B Instruct 2507.
  • Evidence differs: Llama 4 Scout is Measured; Qwen3 4B Instruct 2507 is Estimated.
  • Published context is 1,310,720 tokens for Llama 4 Scout and 262,144 for Qwen3 4B Instruct 2507.
  • Weight access differs: Llama 4 Scout is gated; Qwen3 4B Instruct 2507 is open.
  • ModelCap currently lists 4 providers for Llama 4 Scout and 0 for Qwen3 4B Instruct 2507.

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.