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ModelCap

Model decision surface

Compare AI models

Start with Gemma 3 4B 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

Gemma 3 4B vs Qwen3 VL 30B A3B Instruct

Live dataset updated 9/3/2026, 3:28:37 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 3 4B and Qwen3 VL 30B A3B Instruct
Field
ModelCap position#195#194
Index score10.410.8
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$0.05$0.15
Output / 1M$0.10$0.60
Pricing statusfreshfresh
Context131K262K
Providers14
Weight accessGated accessOpen weights

Decision facts

  • Gemma 3 4B is #195; Qwen3 VL 30B A3B Instruct is #194 on the same current language board.
  • Index scores are 10.4 for Gemma 3 4B and 10.8 for Qwen3 VL 30B A3B Instruct.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.10 for Gemma 3 4B and $0.60 for Qwen3 VL 30B A3B Instruct.
  • Published context is 131,072 tokens for Gemma 3 4B and 262,144 for Qwen3 VL 30B A3B Instruct.
  • Weight access differs: Gemma 3 4B is gated; Qwen3 VL 30B A3B Instruct is open.
  • ModelCap currently lists 1 providers for Gemma 3 4B 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.