首个开源权重的扩散语言模型 Clover-35B，35B 参数单卡跑出 680 tokens/秒，生成速度控可以关注下。
Clover-35B-A3B-Preview 定位为首个开源权重的生产级扩散语言模型（dLLM），总参数量 35B。官方称在 BF16 精度下单卡可达 680 tokens/秒。模型目前以 Preview 形式发布。
Diffusion!
> Meet Clover-35B-A3B-Preview 🍀 the first open-weight production diffusion language model (dLLM) with 35B total parameters capable of 680 tps on a single card at BF16.
Google 的 Gemini 4 Carbon 把 Opus 5.5 和 GPT-6 Astra 都比下去了，还拿下 Artificial Analysis 指数第一，看看这次是不是真翻身。
跑分规则大改：题目改用私有题库，代码评审看你能不能真合 PR。DeepSeek 开源版在这套更严的编码榜上反超了 Gemini 和 GPT。
A speech-recognition specialist moving into TTS with a model that trades a mid-tier Elo rank for standout speed and a price well below premium rivals like Eleven v4 at $80/1M and Sonic 3.6 at $49/1M. Developers building voice agents who prioritise low latency and cost over top-5 voice quality can benchmark it against Breeze TTS 2 and Voxtral 3 TTS directly in the arenas.
The pricing spread matters more than the ranking itself: Seedance 2.5's #1 spot costs roughly 7x what the open-weights MiniMax H3 charges per minute, and H3 already beats it on Text Rendering. Teams building image-to-video pipelines for ads, ecommerce or film can use the per-capability leaderboards to match models to specific needs instead of paying for overall rank. The 95% private prompt pool also makes these rankings harder to game than public arena results.
Hebbia 把自己的金融评测塞进了 Fireworks 的 SII 指数，做投行或金融业务选模型的可以留意这个对比榜单。
Nvidia 把语音转写、翻译和区分说话人打包进一个开源模型，参数还只有竞品的六分之一，做语音相关项目的可以直接拿来用。
