One signal

AI commentator MiaAIlab says Kimi K3.1 Pro’s result on the Gummy Bears task was only “ok”, despite running at maximum effort. That is one person’s assessment, not a published benchmark comparison.

MiaAIlab also says the test used two five-hour limits on a $39 plan. If that account is accurate, the model’s performance came with a notable usage cost, though the post gives no scores or test details. One small data point, then, not a verdict on a 2.8-trillion-parameter model. How much should a strong model’s price and usage limits count when judging its performance?

Discuss: When comparing AI models, how much weight should usage limits and cost carry alongside benchmark results?

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