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ModelCap

Model decision surface

Compare AI models

Start with Llama Guard 4 12B and Codestral 2508, 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 Guard 4 12B vs Codestral 2508

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

Open 1200×630 evidence receipt
Factual comparison of Llama Guard 4 12B and Codestral 2508
Field
Codestral 2508

Mistral AI

ModelCap position#229#226
Index score0.00.0
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.18$0.30
Output / 1M$0.18$0.90
Pricing statusfreshfresh
Context1M256K
Providers21
Weight accessGated accessAPI only

Decision facts

  • Llama Guard 4 12B is #229; Codestral 2508 is #226 on the same current language board.
  • Index scores are 0.0 for Llama Guard 4 12B and 0.0 for Codestral 2508.
  • Both positions use Estimated evidence.
  • Listed output price per 1M tokens is $0.18 for Llama Guard 4 12B and $0.90 for Codestral 2508.
  • Published context is 1,048,576 tokens for Llama Guard 4 12B and 256,000 for Codestral 2508.
  • Weight access differs: Llama Guard 4 12B is gated; Codestral 2508 is none.
  • ModelCap currently lists 2 providers for Llama Guard 4 12B and 1 for Codestral 2508.

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.