同分模型每任务输出 token 相差 7 倍，Gemini 4 Argon 约 60K

Merge @merge_api原推发布于 2026.10.08

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Two frontier models a few points apart on the Intelligence Index can differ 7x in the tokens they burn per task. GPT-6 Astra (@OpenAI) scores 52.7 and finishes an average Artificial Analysis Intelligence Index task in 27K output tokens. Claude Sonnet 5.5 scores 56.0 and uses 197K. GPT-6.1 Sol comes in at 38K, while Muse Spark 1.3, Gemini 4 Argon and MiMo-V2.6-Pro all land between 60K and 64K. Output tokens are what you pay for. Sending simple requests to a leaner model is one of the easiest ways to cut inference spend, and Merge Gateway routes them for you. Scores via http://artificialanalysis.ai, week of Oct 5.