Gemini 1.5 Pro

Model ● Covered in 4 stories Compare ⇄ + Follow

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Latest developments

Small models, big results: Achieving superior intent extraction through decomposition Google Research · 6 months ago · 27

Welcome Gemma 3: Google's all new multimodal, multilingual, long context open LLM Hugging Face Blog · 1 year ago · 26

Introducing Qwen2-Math Qwen · 1 year ago · 11

Data Machina #253 Data Machina · 2 years ago · 36

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Google develops this model · 2 sources

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TLDRocket 3 August 2026

Open-source AI models are consolidating their foothold as the dominant deployment pattern, even as frontier capabilities remain concentrated at a handful of well-funded labs. Interconnects launched the Artifacts Hub and Adoption Dashboard to track 792 open-weight models released in two years, mapping adoption by geography and revealing how deeply DeepSeek and Chinese models have penetrated deployment pipelines globally. Meanwhile, DeepSeek itself proved that scale isn't everything: its V4-Flash model, a leaner 284-billion-parameter variant, outperformed its own flagship on agent benchmarks through careful post-training. The MIT-licensed release lets enterprises avoid vendor lock-in entirely, directly controlling deployment and retraining at lower infrastructure cost.

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Every AI story that matters, in your inbox by 8am.

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in your inbox by 8am.