Deutsch(DE) Es ist echt bitter, zu sehen, wie sehr die LLM-Modelle jenseits von Anthropic Claude versagen. Mistral ist ohnehin hoffnungslos. Aber auch Deepseek, GLM Qwen &

Author criticizes LLM performance, favoring Anthropic Claude

By PulseAugur Editorial · [1 sources] · 2026-07-05 07:53

The author expresses disappointment with the performance of several large language models, stating that most models fail significantly when compared to Anthropic's Claude. Specifically, Mistral, Deepseek, and Qwen are mentioned as falling short, only performing adequately on trivial tasks that do not require an LLM. The author also notes a deliberate exclusion of Microsoft Gemini, Grok, and OpenAI Codex due to ethical concerns. AI

IMPACT Highlights perceived performance gaps between leading LLMs and their competitors, potentially influencing user choice and developer focus.

RANK_REASON Author's opinion piece comparing LLM performance.

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Author criticizes LLM performance, favoring Anthropic Claude

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Mastodon — fosstodon.org TIER_1 Deutsch(DE) · [email protected] · 2026-07-05 07:53

It's really bitter to see how much LLM models beyond Anthropic Claude fail. Mistral is hopeless anyway. But also Deepseek, GLM Qwen &

Es ist echt bitter, zu sehen, wie sehr die LLM-Modelle jenseits von Anthropic Claude versagen. Mistral ist ohnehin hoffnungslos. Aber auch Deepseek, GLM Qwen & Co. können Claude einfach nicht das Wasser reichen, sofern die Anfragen nicht völlig trivial sind (und dann braucht man …

COVERAGE [1]

It's really bitter to see how much LLM models beyond Anthropic Claude fail. Mistral is hopeless anyway. But also Deepseek, GLM Qwen &

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