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ModelCap

Model decision surface

Compare AI models

Start with HARC 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

HARC Llama 3.1 8B Instruct vs Mixtral 8x22B Instruct

Live dataset updated 9/9/2026, 8:46:14 PM UTC

Open 1200×630 evidence receipt
Factual comparison of HARC Llama 3.1 8B Instruct and Mixtral 8x22B Instruct
Field
ModelCap position#158#156
Index score6.49.2
EvidenceInheritedmerge of meta-llama/llama-3.1-8b-instruct · merge (100%)Measured2 public benchmark observations across 2 boards
Input / 1MUnavailable$2.00
Output / 1MUnavailable$6.00
Pricing statusunavailablefresh
Context—66K
Providers01
Weight accessRestricted licenseOpen weights

Decision facts

  • HARC Llama 3.1 8B Instruct is #158; Mixtral 8x22B Instruct is #156 on the same current language board.
  • Index scores are 6.4 for HARC Llama 3.1 8B Instruct and 9.2 for Mixtral 8x22B Instruct. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: HARC Llama 3.1 8B Instruct is Inherited; Mixtral 8x22B Instruct is Measured.
  • Weight access differs: HARC Llama 3.1 8B Instruct is restricted; Mixtral 8x22B Instruct is open.
  • ModelCap currently lists 0 providers for HARC 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.