Google 在上一代发布仅三周后宣布 Gemini 3.7 Flash
英文标题:Google announces Gemini 3.7 Flash just three weeks after previous release
Google 宣布推出 Gemini 3.7 Flash,以取代仅在三周前发布的 Gemini 3.6 Flash,但备受期待的 Gemini 3.5 Pro 仍未上线。Google 称,新模型经过核心优化并吸收开发者反馈,在编程、Agent 能力、复杂文档处理和业务工作流自动化方面有所提升。基准测试显示,Gemini 3.7 Flash 在 FrontierCode 1.1 Main、DeepSWE v1.1、GDP.pdf 和 AutomationBench 等测试中的成绩均高于 3.6 Flash。对于开发者而言,新模型带来更低的初始定价和一定性能改进,但如此短的迭代周期也引发了对其实际提升幅度及 Google AI 发布节奏的质疑。
30.6 KB
160.8 KB
100.8 KB
196.2 KB
320.5 KB
156.3 KB
2.4 KB
58.0 KB
中文
Google 今日宣布推出一款新的 Gemini 模型,但它并非长期未见踪影的 3.5 Pro。Gemini 3.7 Flash 现正开始推送,将取代 Gemini 3.6 Flash;后者才在三周前发布。这款新的“主力”模型据称是核心优化和开发者反馈的产物,在编程和 Agent 性能方面有所提升。Google 还希望通过为 3.7 Flash 提供更低的“初始定价”,应对部分竞争模型的低价竞争。
据高级总监 Tulsee Doshi 表示,Gemini 3.7 Flash 的编程能力明显优于上一代 Flash。她指出,FrontierCode 1.1 Main 测试成绩从 34.4% 提升至 43.6%,DeepSWE v1.1 则从 49% 升至 65.3%。至于整体体验表现,Gemini 3.7 Flash 的 WebDev Arena 得分已从 1,538 提高至 1,588。
那些使用 Gemini 并期待它“知道”更多信息的用户,在 Gemini 3.7 Flash 中也可能看到小幅改善。衡量模型处理复杂文档能力的 GDP.pdf 基准测试成绩,从 3.6 Flash 的 22% 提高到 34%。AutomationBench 用于测试模型执行常见商业工作流的能力,Gemini 3.7 Flash 的成绩从 3.6 的 17% 升至 30.4%。
Gemini 3.7 Flash 在基准测试中略优于 3.6 Flash。
来源:Google
Gemini 3.7 Flash 在基准测试中略优于 3.6 Flash。来源:Google
这些数字确实更高。但它们的差异是否足以支持在上一次发布仅三周后就推出新模型?这或许更多是为了维持 Google AI 持续进步的形象。在 2024 年和 2025 年期间,Google 快速缩小了与竞争 AI 实验室最佳 AI 模型之间的差距。然而,这一进展在 2026 年似乎已经放缓。在 5 月的 I/O 大会上,Google 曾承诺旗舰 Gemini 3.5 Pro 将于 6 月推出,但这并未实现。
English / 原文
Google is announcing a new Gemini model today, but it’s not the long-awaited 3.5 Pro. Gemini 3.7 Flash is now rolling out to replace 3.6 Flash, which itself was released only three weeks ago. This new “workhorse” model is supposedly the product of core optimizations and developer feedback, offering improved coding and agentic performance. And Google is hoping to counter the lower cost of some competing models with a lower “introductory price” for 3.7 Flash.
According to Senior Director Tulsee Doshi, Gemini 3.7 Flash is noticeably better at coding than the previous Flash release. She cites a jump in the FrontierCode 1.1 Main test from 34.4 to 43.6 percent and DeepSWE v1.1 going from 49 to 65.3 percent. As for the vibes, Gemini 3.7 Flash’s WebDev Arena score has risen to 1,588 from 1,538.
People turning to Gemini and hoping it will “know” things may also see modest improvements in Gemini 3.7 Flash. The GDP.pdf benchmark, which measures how well a model can process complex documents, has gone up to 34 percent versus 22 percent with 3.6 Flash. AutomationBench tests how well models can execute common business workflows, and Gemini 3.7 Flash rose to 30.4 percent from 3.6’s 17 percent score.
Gemini 3.7 Flash is a little better than 3.6 Flash in benchmarks.
Credit: Google
Gemini 3.7 Flash is a little better than 3.6 Flash in benchmarks. Credit: Google
Those numbers certainly are higher. But are they sufficiently different to support a new model release just three weeks after the last one? This may be more about maintaining the appearance of constant improvements in Google’s AI. Throughout 2024 and 2025, Google rapidly made up ground to rival the best AI coming out of competing AI labs. Things appear to have slowed in 2026, though. At I/O in May, Google promised that the flagship Gemini 3.5 Pro would launch in June, but that never happened.