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ModelCap

Model decision surface

Compare AI models

Start with Llama 4 Scout and Qwen3 Coder Next, 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 Coder Next

Live dataset updated 8/18/2026, 3:36:20 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Llama 4 Scout and Qwen3 Coder Next
Field
ModelCap position#108#86
Index score22.427.6
EvidenceMeasured4 public benchmark observations across 4 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$0.10$0.12
Output / 1M$0.30$0.80
Pricing statusfreshfresh
Context1.3M262K
Providers44
Weight accessGated accessOpen weights

Decision facts

  • Llama 4 Scout is #108; Qwen3 Coder Next is #86 on the same current language board.
  • Index scores are 22.4 for Llama 4 Scout and 27.6 for Qwen3 Coder Next.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.30 for Llama 4 Scout and $0.80 for Qwen3 Coder Next.
  • Published context is 1,310,720 tokens for Llama 4 Scout and 262,144 for Qwen3 Coder Next.
  • Weight access differs: Llama 4 Scout is gated; Qwen3 Coder Next is open.

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.