… Open-weight models now range from those designed for smartphones to those that require their own data-center rack. If you want something capable of running on hardware you could realistically own, you need to look at models with around 12 to 30 billion parameters. …
… Everything else, like summarizing, drafting, extraction, and grunt development work gets served by cheaper models. Many models capable of filling that gap are open-weight models, and many of them are coming out of China. …
… For example, Qwen's GPU pricing was directionally right but not perfectly current, and it overclaimed on which model sizes fit a given VRAM budget at specific quants. Those are the cracks a local model with bolt-on web search still shows, but it manages to stay incredibly competitive. …
… Anthropic says access to all other models is unaffected, and it says it is working to restore access as soon as possible. …
… That is a massive jump just to use Claude without constantly looking at a usage meter, especially when competing tools are offering capable models with far more manageable limits under their regular subscriptions. …
… These are actually usable models that can power real work, but they're also the kind of models that need a serious server to host. …
… 06 / 8 Features What was a key distinguishing feature of Claude 2 when it launched compared to many rival models at the time? …
… Aside from OpenAI's gpt-oss models and Google's Gemma 4 models, there hasn't really been an answer. Will any of these replace Claude for your daily work? It depends, but I'm not going to pretend they're universally better or even competitive across the board models. …