Google Unveils Another New AI Model in Just Three Weeks... Race to Accelerate AI Product Releases [Global AI Briefing]
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- 2026-09-03 08:49:43
- Updated
- 2026-09-03 08:49:43
Global AI companies, including Google, OpenAI and Anthropic, are rapidly shortening the intervals between new model launches, intensifying the race to develop and release AI models faster.
On the 2nd, local time, Google DeepMind announced on its official blog that it had officially launched the new language model Gemini 3.8 Flash and its cybersecurity-focused version, Gemini 3.8 Flash Cyber.

Google described the model, internally code-named “Schemaki,” as “the most intelligent Flash model.” It emphasized that the model offers significantly improved capabilities in multi-step problem-solving and coding.
In other words, the model is focused on software engineering, autonomous agent tasks and multi-step reasoning.
It supports multimodal inputs spanning text, images, video, audio and PDFs. The cost is $0.75 per 1 million input tokens and $3.75 per 1 million output tokens, making it a midrange, lower-cost model priced the same as Gemini 3.7, which was launched three weeks ago.
The launch of Gemini 3.8 is drawing industry attention because it highlights the intensifying competition among global AI companies to release new models at ever-faster speeds.
Google CEO Sundar Pichai said during an earnings-call conference in July that the company planned to accelerate the pace of AI model releases and launch a model almost every month, openly declaring a race to speed up new AI model launches. In fact, Google’s Gemini Flash line released version 3.6 on July 21, followed by version 3.7 on August 13 and version 3.8 in September.
OpenAI is also joining the race to release new AI models faster. After launching GPT-5.3-Codex in February, it introduced five GPT-5.x variants in succession over the following three months through May. In particular, the transition from GPT-5.4 to GPT-5.5 took less than two months.
Anthropic has also shortened its release cycle by more than half, reducing the interval from more than six months to around 10 weeks as it moved from Claude Opus 4 to Claude Opus 4.5.
Industry experts attribute the global AI companies’ race to release new models faster largely to price competition. Rather than spending extensive time and enormous sums developing a single massive, top-performing model, companies are shifting toward competing on speed and cost by supplying large numbers of fast, affordable models that perform specific tasks well and using them to expand their market share.
[email protected] Lee Gu-soon Reporter