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ModelCap

Model decision surface

Compare AI models

Start with Llama 4 Scout and GPT-3.5 Turbo Instruct, 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 GPT-3.5 Turbo Instruct

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

Open 1200×630 evidence receipt
Factual comparison of Llama 4 Scout and GPT-3.5 Turbo Instruct
Field
ModelCap position#104#107
Index score22.522.5
EvidenceMeasured4 public benchmark observations across 4 boardsEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.10$1.50
Output / 1M$0.30$2.00
Pricing statusfreshfresh
Context1.3M4K
Providers41
Weight accessGated accessAPI only

Decision facts

  • Llama 4 Scout is #104; GPT-3.5 Turbo Instruct is #107 on the same current language board.
  • Index scores are 22.5 for Llama 4 Scout and 22.5 for GPT-3.5 Turbo Instruct.
  • Evidence differs: Llama 4 Scout is Measured; GPT-3.5 Turbo Instruct is Estimated.
  • Listed output price per 1M tokens is $0.30 for Llama 4 Scout and $2.00 for GPT-3.5 Turbo Instruct.
  • Published context is 1,310,720 tokens for Llama 4 Scout and 4,095 for GPT-3.5 Turbo Instruct.
  • Weight access differs: Llama 4 Scout is gated; GPT-3.5 Turbo Instruct is none.
  • ModelCap currently lists 4 providers for Llama 4 Scout and 1 for GPT-3.5 Turbo Instruct.

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.