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[ARTICLE · art-147061] src=kagifeedback.org ↗ pub= topic=ai-search verified=true sentiment=· neutral

Deepseek vs Kimi 2.5

A side-by-side test of Deepseek v4 flash and Kimi K2.5 on the query "Orthotic sandals in germany" found Deepseek's end-to-end response time was almost double Kimi K2.5's, even though Deepseek's token generation rate was double Kimi K2.5's, leading the tester to conclude another factor makes Deepseek slow. The tester also said Kimi K2.5 "really sits in a sweetspot when it comes to making assistant searches," producing responses that are not too long while making good additional searches.

read1 min views1 publishedOct 7, 2026

I had the same query for both Deepseek v4 flash and kimi K2.5; "Orthotic sandals in germany"

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As you can see end to end time for Deepseek is almost double that of K2.5. Even though the token generation is double that of Kimi K2.5. So it seems like there is something else that makes Deepseek slow. I'm curious what it is.

I've also got to say Kimi K2.5 really sits in a sweetspot when it comes to making assistant searches. Not too long, and making good additional searches.

Textbox contain everything.

source & further reading
kagifeedback.org — original article Degraded output of Kimi K2.6 in all variants. Most of the time unable to get a response. Kimi K2.6 Reasoning thinking loop Kimi K2.6 (All variants) does not answer some specific topics
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