3 ms·
Less than a year behind the SOTA, faster, and cheaper. I think Mistral is mounting a good recovery. I would not use it yet since it is not the best along any di
by esafak 11mo ago
Less than a year behind the SOTA, faster, and cheaper. I think Mistral is mounting a good recovery. I would not use it yet since it is not the best along any dimension that matters to me (I'm not EU-bound) but it is catching up. I think its closed source competitors are Haiku 4.5 and Gemini 3 Pro Fast (TBA) and whatever ridiculously-named light model OpenAI offers today (GPT 5.1 Codex Max Extra High Fast?)
- kevin061 11mo agoThe OpenAI thing is named Garlic. (Surely they won't release it like that, right..?)
- esafak 11mo agoTIL: https://garlicmodel.com/ https://garlicmodel.com/ That looks like the next flagship rather than the fast distillation, but thanks for sharing.
- kevin061 11mo agoLol, someone vibecoded an entire website for OpenAI's model, that's some dedication.
- ttul 11mo ago"GPT, please make me a website about OpenAI's 'Garlic' model."
- BoorishBears 11mo agoPeople have been doing this for literally every anticipated model release, and I presume skimming some amount of legitimate interest since their sites end up being top indexed until the actual model is released. Google should be punishing these sites but presumably it's too narrow of a problem for them to care.
- kevin061 11mo agoBlack SEO in the age of LLMs
- dmix 11mo agoIt would need outbound links to be SEO Or at least a profit model. I don't see either on that page but maybe I'm missing something
- ewoodrich 11mo agoEvery link in the "Legal" tree is a dead end redirecting back to the home page... strange thing to put together without any acknowledgement, unless they spam it on LLM adjacent subreddits for clout/karma?
- YetAnotherNick 11mo agoNo this is comparable to Deepseek-v3.2 even on their highlight task, with significantly worse general ability. And it's priced 5x of that.
- esafak 11mo agoIt's open source; the price is up to the provider, and I do not see any on openrouter yet. ̶G̶i̶v̶e̶n̶ ̶t̶h̶a̶t̶ ̶d̶e̶v̶s̶t̶r̶a̶l̶ ̶i̶s̶ ̶m̶u̶c̶h̶ ̶s̶m̶a̶l̶l̶e̶r̶,̶ ̶I̶ ̶c̶a̶n̶ ̶n̶o̶t̶ ̶i̶m̶a̶g̶i̶n̶e̶ ̶i̶t̶ ̶w̶i̶l̶l̶ ̶b̶e̶ ̶m̶o̶r̶e̶ ̶e̶x̶p̶e̶n̶s̶i̶v̶e̶,̶ ̶l̶e̶t̶ ̶a̶l̶o̶n̶e̶ ̶5̶x̶.̶ ̶I̶f̶ ̶a̶n̶y̶t̶h̶i̶n̶g̶ ̶D̶e̶e̶p̶S̶e̶e̶k̶ ̶w̶i̶l̶l̶ ̶b̶e̶ ̶5̶x̶ ̶t̶h̶e̶ ̶c̶o̶s̶t̶.̶ edit: Mea culpa. I missed the active vs dense difference.
- NitpickLawyer 11mo ago> Given that devstral is much smaller, I can not imagine it will be more expensive Devstral 2 is 123B dense. Deepseek is 37B Active. It will be slower and more expensive to run inference on this than dsv3. Especially considering that dsv3.2 has some goodies that make inference at higher context be more effective than their previous gen.
- syntaxing 11mo agoDevstral is purely nonthinking too it’s very possible it uses less models (I don’t know how DS 3.2 nonthinking compares). It’s interesting because Qwen pretty much proved hybrid models work worse than fully separate models.
- aimanbenbaha 11mo agoDeepseek v3.2 is that cheap because its attention mechanism is ridiculously efficient.
- esafak 11mo agoYeah, DeepSeek Sparse Attention. Section 2: https://arxiv.org/abs/2512.02556 https://arxiv.org/abs/2512.02556