DeepMind reorganised its leadership after Demis Hassabis stepped from CEO into a chair role, while chief scientist Jeff Dean also left. Gemini 3.5 Pro has missed three release dates since its May I/O reveal, and independent tests say Gemini 3.6 Flash trails multiple major rivals in raw intelligence. DeepMind is shifting day-to-day control to the CTO, losing key talent, and trying to regain momentum without its main scientific leaders while power concentrates closer to Google headquarters.
Gemini 3.7 Flash launched Thursday as Google’s new coding-agent and workflow workhorse instead of Gemini 3.5 Pro. DeepSWE v1.1 rose from 49% on Gemini 3.6 Flash to 65.3% on Gemini 3.7 Flash. Developers can use the new thinking_level settings and face API pricing that doubles on January 1, 2027, plus migration steps if moving from older Gemini models.
Simon Willison’s Weblog·2 months ago·
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The llm-gemini 0.33 plugin was released with support for the Gemini 3.7 Flash release and related model variants. It adds compatibility with LLM 0.32 and includes a server-side tools example using gemini-3.7-flash with CodeExecution to run a Python factorial calculation of 13. As a result, reasoning traces can be viewed and server-side tools can be enabled, but a Safari-rendering issue can make the pelican SVG missing in Firefox and Chrome.
Google introduced Gemini 3.7 Flash, a coding-and-agent model positioned as a more intelligent “workhorse” than its Gemini 3.6 Flash predecessor. It launched three weeks after 3.6 Flash and is priced at $0.75 per 1M input tokens and $3.75 per 1M output tokens. The update improves coding accuracy on benchmarks, web/app generation in fewer prompts, and knowledge-work reasoning, while being rolled into Gemini Spark and shipping with updated safety safeguards.
Google announced Gemini 3.7 Flash, replacing Gemini 3.6 Flash just three weeks after the prior Flash release rather than delivering the expected 3.5 Pro.
Gemini 3.7 Flash is presented as Google’s workhorse model for coding and agent tasks.
No number, benchmark, or date is mentioned in the provided text.
As a result, Google is positioning a new Gemini version for developer-oriented AI coding and agent use cases.
Google reorganized DeepMind’s leadership, with Jeff Dean leaving to start a new lab and Demis Hassabis stepping aside, prompting debate about whether Google is slipping in frontier AI. The interview focuses on Gemini work that emphasizes “3.5” class models that have fallen on leaderboards. As researchers shift away from long-term work toward product-focused efforts, the story suggests Google may keep catching up rather than repeatedly taking the lead in state-of-the-art models.
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