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ModelCap

Model decision surface

Compare AI models

Start with Llama 3.3 70B Instruct and GPT-4 Turbo, 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 3.3 70B Instruct vs GPT-4 Turbo

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

Open 1200×630 evidence receipt
Factual comparison of Llama 3.3 70B Instruct and GPT-4 Turbo
Field
ModelCap position#174#173
Index score20.620.9
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$0.10$10.00
Output / 1M$0.32$30.00
Pricing statusfreshfresh
Context131K128K
Providers121
Weight accessGated accessAPI only

Decision facts

  • Llama 3.3 70B Instruct is #174; GPT-4 Turbo is #173 on the same current language board.
  • Index scores are 20.6 for Llama 3.3 70B Instruct and 20.9 for GPT-4 Turbo.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.32 for Llama 3.3 70B Instruct and $30.00 for GPT-4 Turbo.
  • Published context is 131,072 tokens for Llama 3.3 70B Instruct and 128,000 for GPT-4 Turbo.
  • Weight access differs: Llama 3.3 70B Instruct is gated; GPT-4 Turbo is none.
  • ModelCap currently lists 12 providers for Llama 3.3 70B Instruct and 1 for GPT-4 Turbo.

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.