open-weight models
3 published articles
Google DeepMind
Gemma 4 just made every other open-weight model look 10x too big
Google DeepMind's Gemma 4 natively multimodal open-weight family introduces thinking mode, encoder-free architecture, and MoE options. The 2.3B model matches Gemma 3's 27B performance. The 31B model tops open-weight leaderboards.
2026-07-13
The deprecation dossier
Mistral AI just killed half its model family. Here is what survived and why.
A mid-2026 audit of Mistral AI's model portfolio reveals 36 active models across frontier, specialist, and legacy tiers, with 19 models slated for deprecation by mid-2026. The company's strategy emphasizes small specialist models for agents and coding, while deprecating experimental variants like Magistrate and earlier Devstral versions.
2026-07-13
Google DeepMind
Google DeepMind's Gemma 4 turns 26 billion parameters into a reasoning machine that fits on one GPU
Google DeepMind's Gemma 4 technical report details a family of open-weight models with mixture-of-experts, 1M-token context windows, and multi-modal vision. The release signals a strategic play to bring frontier-level reasoning to developers without the cost of proprietary APIs.
2026-07-09