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Decision facts

• GPT-5.4 Nano is #80; Qwen3 235B A22B Thinking 2507 is #85 on the same current language board.
• Index scores are 50.8 for GPT-5.4 Nano and 50.0 for Qwen3 235B A22B Thinking 2507. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
• Both positions use Measured evidence.
• Listed output price per 1M tokens is $1.25 for GPT-5.4 Nano and $2.30 for Qwen3 235B A22B Thinking 2507. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.02 for GPT-5.4 Nano versus $1.61 for Qwen3 235B A22B Thinking 2507. GPT-5.4 Nano costs 36.3% 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 400,000 tokens for GPT-5.4 Nano and 131,072 for Qwen3 235B A22B Thinking 2507.
• Weight access differs: GPT-5.4 Nano is none; Qwen3 235B A22B Thinking 2507 is open.
• ModelCap currently lists 2 providers for GPT-5.4 Nano and 3 for Qwen3 235B A22B Thinking 2507.

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