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ModelCap

Model decision surface

Compare AI models

Start with Llama 3.3 70B Instruct and Inkling Small, 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 Inkling Small

Live dataset updated 8/18/2026, 3:36:20 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Llama 3.3 70B Instruct and Inkling Small
Field
Inkling Small

Thinking Machines

ModelCap position#175#31
Index score20.658.9
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$0.10$0.45
Output / 1M$0.32$1.20
Pricing statusfreshfresh
Context131K524K
Providers122
Weight accessGated accessOpen weights

Decision facts

  • Llama 3.3 70B Instruct is #175; Inkling Small is #31 on the same current language board.
  • Index scores are 20.6 for Llama 3.3 70B Instruct and 58.9 for Inkling Small.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.32 for Llama 3.3 70B Instruct and $1.20 for Inkling Small.
  • Published context is 131,072 tokens for Llama 3.3 70B Instruct and 524,288 for Inkling Small.
  • Weight access differs: Llama 3.3 70B Instruct is gated; Inkling Small is open.
  • ModelCap currently lists 12 providers for Llama 3.3 70B Instruct and 2 for Inkling Small.

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.