LMArena 实测 Google DeepMind 新模型 Argon：语气更友好但更绕
Text Arena battles show: - @GoogleDeepMind's new release is more friendly and decisive. It keeps a...
Google DeepMind 的 Argon 在 LMArena 上数据出来了，比 GPT-6.1 Sol 和 Opus 5.5 更友好但话更绕，多轮对话投票领先 62 分，喜欢长回答的可以试试。
LMArena 文本竞技场数据显示，Google DeepMind 新发布的 Argon 在 AI 评审中被评为比 GPT-6.1 Sol 更友好的比例为 55% 对 25%，比 Opus 5.5 为 46% 对 32%。Argon 的中位数回答长度为 519 词，明显高于 Claude 的 358-383 词和 GPT 系列的约 200 词。在用户投票中，Argon 在多轮对话类别领先 62 分，创意写作领先 42 分，长查询领先 40 分。其风格标志包括感叹号用量约为 Opus 5.5 的 3 倍、GPT-6.1 Sol 的 5 倍，以及在 56% 的回答中使用结构化导引语。
Text Arena battles show: - @GoogleDeepMind's new release is more friendly and decisive. It keeps a...
Text Arena battles show: - @GoogleDeepMind 's new release is more friendly and decisive. It keeps a warm, encouraging and clear tone. Against GPT-6.1 Sol, the AI judge rated Argon friendlier in 55% of comparisons and Sol in just 25%. Against Opus 5.5, it's 46% vs 32%. - It is more conversational: the model goes on tangents more, and is less direct. Rivals' answers were rated more direct in 32-37% of comparisons, Argon's in only 14-23%. This is also reflected in its answer length: the median Argon answer is 519 words, against 358-383 for Claude and about 200 for GPT models. - These behaviors show up in user votes. Argon has the strongest advantage in multi-turn chats (+62 points), creative writing (+42) and longer queries (+40), the categories where such personality matters most. - The clearest markers of its approachable style are its use of exclamation marks (about 3x Opus 5.5 and 5x GPT-6.1 Sol), references to the user (24 per 1,000 words, against 19-20 for every rival), and signposting (56% of its answers, against 41-42% for Claude and 22-23% for GPT models). 💬 1 🔄 0 ❤️ 0 👀 2 📊 1 ⚡
