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ModelCap

Model decision surface

Compare AI models

Start with Qwen3 30B A3B and Qwen3 VL 30B A3B Thinking, 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

Qwen3 30B A3B vs Qwen3 VL 30B A3B Thinking

Live dataset updated 8/17/2026, 11:13:20 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Qwen3 30B A3B and Qwen3 VL 30B A3B Thinking
Field
ModelCap position#93#100
Index score24.623.7
EvidenceMeasured2 public benchmark observations across 2 boardsEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.13$0.20
Output / 1M$0.52$2.40
Pricing statusfreshfresh
Context131K262K
Providers22
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen3 30B A3B is #93; Qwen3 VL 30B A3B Thinking is #100 on the same current language board.
  • Index scores are 24.6 for Qwen3 30B A3B and 23.7 for Qwen3 VL 30B A3B Thinking.
  • Evidence differs: Qwen3 30B A3B is Measured; Qwen3 VL 30B A3B Thinking is Estimated.
  • Listed output price per 1M tokens is $0.52 for Qwen3 30B A3B and $2.40 for Qwen3 VL 30B A3B Thinking.
  • Published context is 131,072 tokens for Qwen3 30B A3B and 262,144 for Qwen3 VL 30B A3B Thinking.

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.