Google DeepMind 发布三款新 Gemini 模型,但未包含 3.5 Pro
Google releases three new Gemini models — but no 3.5 Pro
Google DeepMind 发布 Gemini 3.6 Flash、3.5 Flash-Lite 和 3.5 Flash Cyber 三款新模型。其中 3.6 Flash 在编码和多模态性能上提升,token 用量降低 17%,成本低于前代;3.5 Flash Cyber 专为修复网络安全漏洞微调,仅限政府及可信合作伙伴使用。
On Tuesday, Google DeepMind released Gemini 3.6 Flash,3.5 Flash-Lite, and 3.5 Flash Cyber. Gemini 3.6 Flash is Google’s “workhorse model” that promises improved capabilities in coding, knowledge work, and multimodal performance while reducing token usage by up to 17%, making it cheaper than its predecessor 3.5 Flash.
Gemini 3.5 Flash-Lite is the most cost-effective model in the class, and 3.5 Flash Cyber is a specialized model that was fine-tuned for finding and fixing cybersecurity vulnerabilities at a decent price point. This model will be exclusively available to governments and trusted partners as part of a limited access pilot program, according to Google.
Google says the focus on these releases is to deliver efficiency, latency, and reliability to customers that are building AI agents at scale.
The launch is notable not just for what Google shipped — cheaper, faster models optimized for coding, efficiency, and cybersecurity — but for what it didn’t. The update doesn’t include the long-anticipated update to Google’s flagship model, Gemini Pro, which was last updated in February.
In the time since that launch, OpenAI has released GPT-5.5 and begun rolling out GPT-5.6, while Anthropic has launched Claude Opus 4.8, Claude Sonnet 5, and expanded access to its frontier Fable 5 model, highlighting the intense release pace of the rival labs.
Google teased the release of Pro as part of the 3.5 Flash release in May, saying the Pro version was “already being used internally, and we look forward to rolling it out next month.” Last week, Bloomberg reported that Google was facing internal delays in launching the 3.5 Pro as it struggled to meet internal performance goals.
Gemini Pro models are generally Google’s highest-capability offerings for complex reasoning and coding tasks, while Flash models prioritize lower cost and faster response times for production applications.
Google DeepMind product lead Logan Kilpatrick said Tuesday that the company is currently testing Gemini 3.5 Pro with partners and hopes to “land soon.” He also noted that the team has started its most ambitious pre-training run yet for Gemini 4.
来源:TechCrunch:AI · techcrunch.com