Google has launched Live Avatar, a feature within Gemini 3.8 Live that pairs real-time video generation with speech models to give AI agents lip-synced, expressive on-screen personas. The avatars support 97 languages, can switch between them without quality loss, and use asynchronous tool calling to fetch data mid-conversation. The feature launches today exclusively for Gemini Enterprise subscribers, not general consumers.
androidauthority.com
· 2026-09-24
Google has launched Gemini 3.8 Flash, its third Flash-tier model release in six weeks, which it says leads on the DeepSWE coding benchmark. A specialized version, Gemini 3.8 Flash Cyber, is tuned for vulnerability detection but is currently restricted to trusted testers and government users. The standard model rolls out across Google's ecosystem today at discounted API pricing through year-end.
tech.slashdot.org
· 2026-09-03
Google released two new AI models on Wednesday: a standard Gemini 3.8 Flash built for agentic tasks, coding, and multi-step reasoning, and Flash Cyber, tuned specifically for finding and fixing software vulnerabilities. CEO Sundar Pichai said 3.8 Flash beats many larger frontier models on the DeepSWE coding benchmark at lower cost, while Flash Cyber scored 86.2% on the CyberGym benchmark and found vulnerabilities across 20 programming languages with over 70% success in internal testing.
venturebeat.com
· 2026-09-03
Google has launched Gemini 3.8 Flash, its third Flash-tier model release in just six weeks, alongside a specialized variant called Gemini 3.8 Flash Cyber aimed at vulnerability detection and mitigation. The company touts it as its strongest reasoning and coding model to date, with introductory API pricing of $0.75 per million input tokens and $3.75 per million output tokens through year-end before doubling.
arstechnica.com
· 2026-09-02
Google has launched Gemini 3.8 Flash, a successor to Gemini 3.7 Flash released just weeks earlier, which the company says performs more reasoning steps and iteratively calls tools on complex tasks. Input and output token pricing remains unchanged from the prior model, but Google cautions that the new model may consume more tokens overall to boost performance, particularly at higher effort settings. Early analysts note it beats rivals like Anthropic's models on coding, finance, and legal benchmarks, though it can end up pricier in practice due to higher token usage.
theverge.com
· 2026-09-02
Internal testing of Google's upcoming Gemini 3.8 Flash model reportedly shows meaningful improvement in coding performance, an area where the company has trailed rivals Anthropic and OpenAI. The model is expected to be released publicly this week.
wsj.com
· 2026-09-01
GoKawiil