前端开发者做自动化编码任务时，Gemini 3.5 Flash 以更快的速度和更低的成本超越了 Pro 版本，值得在项目中实测对比。
Google DeepMind 的 Gemini 3.5 Flash 模型在 Code Arena 前端评测中取得显著进步，总分 1507，比上一代 Flash 提升 70 分，甚至超越了之前的 Pro 版本。该模型在消费产品、内容创作工具、数据与分析等子类别中全面领先，输出速度达到 Pro 版本的 2 倍以上。目前 Gemini 3.5 Flash 在 Code Arena 前端排名第 9，在 Text Arena 也位列第 9，并在其价格区间内实现了最佳性价比。
A closer look at Gemini 3.5 Flash by @GoogleDeepMind In the Code Arena: Frontend we see sweeping gai...
A closer look at Gemini 3.5 Flash by @GoogleDeepMind In the Code Arena: Frontend we see sweeping gains, and a Flash model now surpasses the previous Pro variant. - vs. 3 Flash, a +70 jump overall, large improvements in every subcategory - vs. 3.1 Pro, outperforms it in every category with largest gains in Consumer Product, Content Creation Tools, and Data & Analytics. - vs. 3.1 Pro, demonstrates speed with over 2x output tokens per second Congrats again to @GoogleDeepMind on these improvements! Arena.ai @arena Gemini 3.5 Flash has landed #9 for Text and Code Arena: Frontend. Code Arena: Frontend evaluates models on agentic frontend coding tasks from real users building apps and websites (HTML and React). Scoring 1507, this is a significant +70 point improvement over Gemini-3 Flash. Sub-category highlights: - #7 Content Creation Tools - #8 Gaming - #8 Consumer Product - #9 Data & Analytics - #10 Reference-Based Design In Text Arena: #9 overall. Gemini 3.5 Flash also moves the price–performance frontier as the new top Arena score in its price tier. Congrats to the @GoogleDeepMind team on this launch! Click into the thread to see the rankings by each arena. 🔗 View Quoted Tweet 💬 4 🔄 4 ❤️ 65 👀 4579 📊 9 ⚡