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ModelCap

Model decision surface

Compare AI models

Start with Qwen3 14B 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

Qwen3 14B vs Qwen3 VL 30B A3B Instruct

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

Open 1200×630 evidence receipt
Factual comparison of Qwen3 14B and Qwen3 VL 30B A3B Instruct
Field
ModelCap position#97#190
Index score23.712.4
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedMeasured1 public benchmark observation across 1 board
Input / 1M$0.12$0.13
Output / 1M$0.24$0.52
Pricing statusfreshfresh
Context131K262K
Providers34
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen3 14B is #97; Qwen3 VL 30B A3B Instruct is #190 on the same current language board.
  • Index scores are 23.7 for Qwen3 14B and 12.4 for Qwen3 VL 30B A3B Instruct.
  • Evidence differs: Qwen3 14B is Estimated; Qwen3 VL 30B A3B Instruct is Measured.
  • Listed output price per 1M tokens is $0.24 for Qwen3 14B and $0.52 for Qwen3 VL 30B A3B Instruct.
  • Published context is 131,072 tokens for Qwen3 14B and 262,144 for Qwen3 VL 30B A3B Instruct.
  • ModelCap currently lists 3 providers for Qwen3 14B 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.