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ModelCap

Model decision surface

Compare AI models

Start with R1 Distill Llama 70B and Qwen3 VL 32B 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

R1 Distill Llama 70B vs Qwen3 VL 32B Instruct

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

Open 1200×630 evidence receipt
Factual comparison of R1 Distill Llama 70B and Qwen3 VL 32B Instruct
Field
ModelCap position#194#188
Index score11.515.4
EvidenceMeasured1 public benchmark observation across 1 boardMeasured1 public benchmark observation across 1 board
Input / 1M$0.80$0.104
Output / 1M$0.80$0.416
Pricing statusfreshfresh
Context8K131K
Providers11
Weight accessOpen weightsOpen weights

Decision facts

  • R1 Distill Llama 70B is #194; Qwen3 VL 32B Instruct is #188 on the same current language board.
  • Index scores are 11.5 for R1 Distill Llama 70B and 15.4 for Qwen3 VL 32B Instruct.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.80 for R1 Distill Llama 70B and $0.42 for Qwen3 VL 32B Instruct.
  • Published context is 8,192 tokens for R1 Distill Llama 70B and 131,072 for Qwen3 VL 32B 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.