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Chinese LLMs tested for speed, reveal output token count as key factor

By PulseAugur Editorial · [1 sources] ·

A developer's attempt to highlight the slowness of Chinese LLMs revealed unexpected performance characteristics across various models. While many Chinese models like Kimi K3, Qwen 3.8 Max, and MiniMax M3 were found to be significantly slower than Western counterparts such as Claude 5 Opus, even when handling large contexts, the author discovered that output token count, rather than raw processing speed, was the primary driver of perceived slowness. Surprisingly, Claude 4.5 Haiku, expected to be fast, was also found to be among the slower models tested. AI

IMPACT Highlights that output token count significantly impacts perceived LLM speed, suggesting developers should consider this metric alongside raw processing power.

RANK_REASON The item is a personal blog post reflecting on LLM performance rather than an official release or benchmark.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Chinese LLMs tested for speed, reveal output token count as key factor

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Commentary
The item is a personal blog post reflecting on LLM performance rather than an official release or benchmark.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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50 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Aliaksei Zelianouski ·

    How I tried to write an article about slow Chinese LLMs

    <p>Recently, I've added a bunch of hype-monsters to my <a href="https://aiwerewolf.net" rel="noopener noreferrer">AI Werewolf</a>:</p> <ul> <li>Kimi K3</li> <li>Qwen 3.8 Max, Qwen 3.7 Plus, Qwen 3.7 Flash</li> <li>MiniMax M3</li> </ul> <p>Plus the ones I've had for a while</p> <u…

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