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ModelCap

Model decision surface

Compare AI models

Start with Llama 3.1 8B Instruct and Mixtral 8x22B 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 3.1 8B Instruct vs Mixtral 8x22B Instruct

Live dataset updated 9/3/2026, 3:06:08 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Llama 3.1 8B Instruct and Mixtral 8x22B Instruct
Field
ModelCap position#207#205
Index score3.14.8
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$0.05$2.00
Output / 1M$0.08$6.00
Pricing statusfreshfresh
Context131K66K
Providers51
Weight accessGated accessOpen weights

Decision facts

  • Llama 3.1 8B Instruct is #207; Mixtral 8x22B Instruct is #205 on the same current language board.
  • Index scores are 3.1 for Llama 3.1 8B Instruct and 4.8 for Mixtral 8x22B Instruct.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.08 for Llama 3.1 8B Instruct and $6.00 for Mixtral 8x22B Instruct.
  • Published context is 131,072 tokens for Llama 3.1 8B Instruct and 65,536 for Mixtral 8x22B Instruct.
  • Weight access differs: Llama 3.1 8B Instruct is gated; Mixtral 8x22B Instruct is open.
  • ModelCap currently lists 5 providers for Llama 3.1 8B Instruct and 1 for Mixtral 8x22B 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.