Google says its new Gemini 3.8 Flash model ‘works harder’ but might cost more
Google says its new Gemini 3.8 Flash model ‘works harder’ but might cost more
谷歌表示其新款 Gemini 3.8 Flash 模型“工作更卖力”，但成本可能更高
Google launched Gemini 3.8 Flash, arriving just a few weeks after its predecessor. The company claims the new model “works harder” than Gemini 3.7 Flash by performing more reasoning steps on complex tasks and “calling tools iteratively.” It has the same introductory pricing as 3.7 Flash, $0.75 per million input tokens and $3.75 per million output tokens, but could still end up costing users more. Google warns that “the model might use more tokens to maximize performance, especially at higher effort levels.” Developers can keep using Gemini 3.7 Flash if they want to minimize token usage.
谷歌发布了 Gemini 3.8 Flash，距离其前代产品发布仅过去了几周。该公司声称，新模型通过在复杂任务中执行更多的推理步骤并“迭代调用工具”，比 Gemini 3.7 Flash “工作更卖力”。其初始定价与 3.7 Flash 相同，即每百万输入 token 0.75 美元，每百万输出 token 3.75 美元，但最终可能会让用户花费更多。谷歌警告称，“为了最大化性能，该模型可能会使用更多的 token，尤其是在高强度工作模式下。”如果开发者希望尽量减少 token 使用量，可以继续使用 Gemini 3.7 Flash。
Gemini 3.8 Flash’s launch was followed by some early impressions online. Artificial Analysis highlighted the model’s pricing, saying Gemini 3.8 Flash is “the cheapest we’ve measured at this level of intelligence. This is up ~40% from Gemini 3.7 Flash despite unchanged per-token pricing, driven by a 30% increase in output tokens per task and more turns on agentic evaluations.”
Gemini 3.8 Flash 发布后，网上出现了一些初步评价。Artificial Analysis 强调了该模型的定价，称 Gemini 3.8 Flash 是“我们在同等智能水平下测得的最便宜的模型”。尽管每 token 定价未变，但其成本比 Gemini 3.7 Flash 高出约 40%，这是由于每个任务的输出 token 增加了 30%，且在智能体评估中进行了更多的交互轮次。
Aigora.ai CEO John Ennis compared Gemini 3.8 Flash to Anthropic’s models, saying it offers “Opus 5 coding quality but at a fraction of the cost and super fast,” adding, “This is going to be so awesome for things like making remotion videos.”
Aigora.ai 首席执行官 John Ennis 将 Gemini 3.8 Flash 与 Anthropic 的模型进行了比较，称其提供了“Opus 5 级别的编码质量，但成本仅为一小部分，且速度极快”，并补充道：“这对于制作 Remotion 视频之类的事情来说将非常棒。”
Google says Gemini 3.8 Flash offers “significant improvements” for software engineering and autonomous AI agents. It outperforms its predecessor and other frontier models on the DeepSWE v1.1 software engineering benchmark, including Anthropic’s Fable 5, which got an upgrade earlier this week that also promises stronger performance at a lower price, by cutting the price to use cached data.
谷歌表示，Gemini 3.8 Flash 在软件工程和自主 AI 智能体方面提供了“显著改进”。它在 DeepSWE v1.1 软件工程基准测试中表现优于其前代产品和其他前沿模型，包括 Anthropic 的 Fable 5。Fable 5 本周早些时候也进行了升级，通过降低缓存数据的使用价格，承诺以更低的成本提供更强的性能。
Google’s new model also outperformed its competitors on the Vals Finance Agent V2 benchmark and Harvey’s Legal Agent benchmark. However, the new model also “ships with safeguards against misuse in the domains of Chemical, Biological, Radiological, and Nuclear (CBRN) and cyber offense.”
谷歌的新模型在 Vals Finance Agent V2 基准测试和 Harvey’s Legal Agent 基准测试中也优于竞争对手。然而，该新模型也“内置了针对化学、生物、放射性和核（CBRN）领域以及网络攻击领域滥用的安全防护措施”。
Google also released Gemini 3.8 Flash Cyber alongside its new Fairwind Program, which is limited to governments and “trusted partners.” The program, whose 650 members include CrowdStrike and the Center for Internet Security, offers access to 3.8 Flash Cyber and Google’s CodeMender agent, which Google says can help “autonomously find and fix vulnerabilities, protecting critical infrastructure, public services, and national security.” Gemini 3.8 Flash is available now for consumers with a Google AI Pro or Ultra subscription, as well as developers and enterprise users.
谷歌还发布了 Gemini 3.8 Flash Cyber，并推出了仅限政府和“受信任合作伙伴”参与的全新 Fairwind 计划。该计划拥有 650 名成员，包括 CrowdStrike 和互联网安全中心（Center for Internet Security），提供对 3.8 Flash Cyber 和谷歌 CodeMender 智能体的访问权限。谷歌表示，CodeMender 可以帮助“自主发现并修复漏洞，保护关键基础设施、公共服务和国家安全”。Gemini 3.8 Flash 现已面向拥有 Google AI Pro 或 Ultra 订阅的消费者，以及开发者和企业用户开放。