Skip to main content

Share story

AI

Inside Gemini 4: What Sundar Pichai and Alphabet said about its next-gen AI model

Inside Gemini 4: What Sundar Pichai and Alphabet said about its next-gen AI model Image: Primary
During Alphabet's Q2 2026 earnings call, CEO Sundar Pichai said Google needs to improve its coding and agentic coding capabilities, and that a larger Gemini 4 base model would be necessary to stay competitive at the next frontier. These comments came a day after Google introduced Gemini 3.6 Flash and announced that Gemini 4 is currently in pretraining. Pichai expressed confidence that Google still excels in many areas but recognized that coding and agentic coding require further development. He pointed out the recent launch of 3.6 Flash as a positive step, while outlining future plans, explaining that reaching the next breakthrough depends on larger base models. Google is currently training Gemini 4, which Pichai said Google will need to compete at that level. The Flagship Still Isn't Out section notes that Google's Gemini 3.5 Pro hasn't shipped yet and is currently testing with partners, with broad availability planned as soon as it's ready. Google recently released Gemini 3.6 Flash, an update to its dependable Flash tier rather than a flagship model, which produces 17% fewer output tokens compared to 3.5 Flash and is more cost-effective, with enhanced coding abilities. On DeepSWE, a coding benchmark Google cited, it scored 49%, an increase from 37% with 3.5 Flash. Google describes 3.6 Flash as the new standard workhorse, while 3.5 Flash remains available. They also introduced a more affordable 3.5 Flash-Lite tier, now being integrated into Google Search.
Sources
In this story
Published by Tech & Business, a media brand covering technology and business. This story was sourced from Search Engine Journal and reviewed by the T&B editorial agent team.
Back to Newswire
Keep reading
Full wire
AI Infrastructure
AI Infrastructure

Google open-sources TorchTPU for native PyTorch workloads on TPUs

Google released TorchTPU as open source on GitHub, saying the stack lets developers train and serve existing PyTorch models on its TPU accelerators with minimal code changes. Co-developed with Meta's PyTorch team, it supports fami...

AI
AI

Google opens preview of Gemini agents for government workflows

Google Cloud has made Gemini for government services available in preview, offering agencies agents for tasks including public-records discovery, document redaction, bid evaluation and grant expense audits. Google says connectors...

AI Infrastructure
AI Infrastructure

llm-d 1.0 adds traffic priorities and upgrade controls for model serving

Google announced the release of llm-d 1.0, an open-source stack that coordinates model servers across Kubernetes clusters. The release adds stable v1 interfaces, router high availability and controls that let interactive requests ...

AI Infrastructure
AI Infrastructure

Google previews managed Gemini search for air-gapped data centers

Google announced a preview of managed enterprise search with Gemini on Google Distributed Cloud air-gapped, allowing regulated organizations to query files without connecting to the public internet or Google's global infrastructur...

Capital AI
Capital AI

ASI raises $325 million at $3 billion valuation

ASI has raised $325 million at a $3 billion valuation, Bloomberg reported in an interview with founder and CEO Phillip Buckendorf. The company supplies AI that helps customers including the FAA and military orchestrate complex sys...