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Decision facts

• Qwen3.7 Plus is #30; Qwen3 VL 235B A22B Thinking is #92 on the same current language board.
• Index scores are 73.4 for Qwen3.7 Plus 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 $1.28 for Qwen3.7 Plus 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 $1.28 for Qwen3.7 Plus versus $2.80 for Qwen3 VL 235B A22B Thinking. Qwen3.7 Plus costs 54.3% 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 1,000,000 tokens for Qwen3.7 Plus and 131,072 for Qwen3 VL 235B A22B Thinking.
• Weight access differs: Qwen3.7 Plus is none; Qwen3 VL 235B A22B Thinking is open.
• ModelCap currently lists 1 providers for Qwen3.7 Plus and 2 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.