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ModelCap

Model decision surface

Compare AI models

Start with Mixtral 8x22B Instruct and Qwen3 VL 30B A3B 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

Mixtral 8x22B Instruct vs Qwen3 VL 30B A3B Instruct

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

Open 1200×630 evidence receipt
Factual comparison of Mixtral 8x22B Instruct and Qwen3 VL 30B A3B Instruct
Field
ModelCap position#206#192
Index score5.512.4
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$2.00$0.13
Output / 1M$6.00$0.52
Pricing statusfreshfresh
Context66K262K
Providers14
Weight accessOpen weightsOpen weights

Decision facts

  • Mixtral 8x22B Instruct is #206; Qwen3 VL 30B A3B Instruct is #192 on the same current language board.
  • Index scores are 5.5 for Mixtral 8x22B Instruct and 12.4 for Qwen3 VL 30B A3B Instruct.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $6.00 for Mixtral 8x22B Instruct and $0.52 for Qwen3 VL 30B A3B Instruct.
  • Published context is 65,536 tokens for Mixtral 8x22B Instruct and 262,144 for Qwen3 VL 30B A3B Instruct.
  • ModelCap currently lists 1 providers for Mixtral 8x22B Instruct and 4 for Qwen3 VL 30B A3B 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.