Gemini 3.5 Flash has made huge progress from 3.1 Pro on GDPval, Flash is competing at the frontier, post training going strong 🙂
@officiallogank
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Fixing trusted AI benchmark standards
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feels like a real problem we as an ecosystem need to fix, how do you get deeply trusted and rigorous benchmarks, at the end of the day this is what researchers use to hill climb (plus live experiments)
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Feedback sought on latest Gemini model
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why is the model bad? Would love feedback! It’s the most capable Gemini model we have ever shipped
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Gemini’s focus on real-world use cases
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we are deeply focused on real world use cases for Gemini, its also exciting to see so many benchmarks get better at capturing these use cases
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Gemini 3.5 Flash Tops APEX-Agents-AA Benchmark
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Gemini 3.5 Flash ranks first on the APEX-Agents-AA benchmark, outperforming significantly larger models.
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Gemini 3.5 Flash Tops Automation Benchmark
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Gemini 3.5 Flash ranks first on the Automation Bench (by Zapier), outperforming all other leading models at a significantly lower cost.
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Focusing on AI models for real-world agentic coding and knowledge work
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the team is super focused on making models great for real world use cases. We spend all day using them for agentic coding, knowledge work, etc and so we feel the good and bad daily : )
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Comparison of Omni and Veo 3.1 AI Video Generation Capabilities
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Omni is SOTA at video editing, and much better than Veo 3.1 at video generation, all while being able to do tons of new stuff with a single model!
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Advancement of intelligence in flash AI models
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seeing us continue to pack the intelligence of pro (and more) into a flash model year after year is still one of the most impressive things to witness
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Google AI Studio and Gemini API Receive Major Updates
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Massive updates to @GoogleAIStudio and the Gemini API – Gemini 3.5 Flash!
– managed agents so you can easily build agentic products with the antigravity harness
– native Android app creation right in AI Studio
– native workspace integrations – 1 click export to antigravity