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Decision facts

• Qwen3 235B A22B Instruct 2507 is #85; Qwen3.7 Plus is #36 on the same current language board.
• Index scores are 59.8 for Qwen3 235B A22B Instruct 2507 and 72.4 for Qwen3.7 Plus. 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 $0.80 for Qwen3 235B A22B Instruct 2507 and $1.28 for Qwen3.7 Plus. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.68 for Qwen3 235B A22B Instruct 2507 versus $1.28 for Qwen3.7 Plus. Qwen3 235B A22B Instruct 2507 costs 46.9% 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 262,144 tokens for Qwen3 235B A22B Instruct 2507 and 1,000,000 for Qwen3.7 Plus.
• Weight access differs: Qwen3 235B A22B Instruct 2507 is open; Qwen3.7 Plus is none.
• ModelCap currently lists 4 providers for Qwen3 235B A22B Instruct 2507 and 1 for Qwen3.7 Plus.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.