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Start with Qwen3 30B A3B and Qwen3 VL 235B A22B 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.

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Current public data

Qwen3 30B A3B vs Qwen3 VL 235B A22B Thinking

Live dataset updated 9/22/2026, 10:37:09 PM UTC

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Factual comparison of Qwen3 30B A3B and Qwen3 VL 235B A22B Thinking
Field	Qwen3 30B A3B Qwen	Qwen3 VL 235B A22B Thinking Qwen
ModelCap position	#164	#92
Index score	33.6	54.6
Evidence	Measured2 public benchmark observations across 2 boards	Measured2 public benchmark observations across 2 boards
Input / 1M	$0.12	$0.40
Output / 1M	$0.50	$4.00
Pricing status	fresh	fresh
Context	131K	131K
Providers	2	2
Weight access	Open weights	Open weights

Decision facts

Qwen3 30B A3B is #164; Qwen3 VL 235B A22B Thinking is #92 on the same current language board.
Index scores are 33.6 for Qwen3 30B A3B and 54.6 for Qwen3 VL 235B A22B Thinking. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
Both positions use Measured evidence.
Listed output price per 1M tokens is $0.50 for Qwen3 30B A3B and $4.00 for Qwen3 VL 235B A22B Thinking. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.49 for Qwen3 30B A3B versus $2.80 for Qwen3 VL 235B A22B Thinking. Qwen3 30B A3B costs 82.5% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Published context is 131,072 tokens for Qwen3 30B A3B and 131,072 for Qwen3 VL 235B A22B 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.

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