Not so impressed with the performance, tbh. I suspect many will feel the same given what we have ...
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elvis on X: "Not so impressed with the performance, tbh. I suspect many will feel the same given what we have recently s...
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- 主题聚焦：Not so impressed with the performance, tbh. I su
- 来源：elvis(@omarsar0)，建议结合原文判断细节。
- AI 分析暂不可用，本条为保底评分与摘要。
elvis on X: "Not so impressed with the performance, tbh. I suspect many will feel the same given what we have recently seen with Kimi, Qwen, DeepSeek, GLM, etc. But you know what. That's okay! What we need is more efficient, diverse, customizable frontier open-weight models. It's great to see… / X
elvis
@omarsar0
Not so impressed with the performance, tbh. I suspect many will feel the same given what we have recently seen with Kimi, Qwen, DeepSeek, GLM, etc. But you know what. That's okay! What we need is more efficient, diverse, customizable frontier open-weight models. It's great to see Mistral back in the game. I like what I see in the multimodal capabilities. That's where I think Mistral Large can stand out. Cyber could also be an interesting direction for them.
Mistral AI
@MistralAI
4h
Meet Mistral Large 4, aka Le Chonk. • 1T parameters, natively multimodal. 49B active. It is the best open weights model from US or Europe on aggregated benchmarks. • State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses
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2:55 PM · Oct 6, 2026
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