MiniMax H3 open weights are live on fal, day 0.
全部 AI 动态
MiniMax (official)@MiniMax_AIAI 评分5454引用fal@fal公众号:MiniMax精选AI 评分7575 MiniMax H3 正式开源:通用全模态生成系统支持 2K 视频与原生立体声
MiniMax 正式开源新一代通用视频模型 H3,可统一理解文本、图像、视频和音频,生成最高 2K 分辨率、最长 15 秒、带 32 kHz 原生立体声音频的视频。
推荐理由:与多数开源视频模型不同,H3 原生支持同步生成立体声音频,且通过上下文再生成实现 2K 分辨率,为音视频生成应用提供了更完整的开源基座。
Yuchen Jin@Yuchenj_UWAI 评分5959引用Qwen@Alibaba_Qwen📢Meet Qwen3.8-Max — our most capable model to date. Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉 Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters: - Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub:https://github.com/qwen-code-dev-bot/oh-my-cli - Real work, real results: Production-quality deliverables across hundreds of professions. - Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy. - Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction. 💰Pricing: Input: $2.0 / M tokens Output: $6.0 / M tokens Implicit Caching: $0.25 / M tokens Start building with Qwen3.8-Max! 🚀 📖 Blog: https://qwen.ai/blog?id=qwen3.8 ✅ Qwen Studio: https://chat.qwen.ai/?models=qwen3.8-max ⚡ API: https://www.qwencloud.com/models/qwen3.8-max
Qwen:Blog Retrieval精选AI 评分8989 Qwen3.8-Max 发布:开源最强编码与协作模型,2.4T 参数
Qwen 正式发布 Qwen3.8-Max,这是 Qwen 家族迄今最强的模型,拥有 2.4T 参数(95B 激活),并首次开源 Qwen-Max 级权重,开放权重将于下周发布。
推荐理由:首次将 Max 级模型权重开源,为开源社区提供比肩闭源旗舰的能力,但实际效果需待下周权重放出后由社区验证。
Qwen@Alibaba_QwenAI 评分5151
MarkTechPostAI 评分4646 Onton 发布 Ontology 1:神经符号搜索模型,比全球最佳电商搜索引擎准确率高 2.7 倍
Onton 发布神经符号搜索模型 Ontology 1,在 90 条查询基准 Subtext-Decor-90 上平均 precision@10 达 0.630,超过 Google Shopping(0.543)和 Amazon(0.469),且索引量仅为后两者目录的约 1%。
MarkTechPostAI 评分6767 Thinking Machines Lab 发布 Inkling-Small:276B 总参数、12B 激活的开源权重多模态 MoE 模型
Thinking Machines Lab 发布开源权重 MoE 模型 Inkling-Small,总参数 276B、激活参数 12B,约为 975B 总参数 Inkling 的四分之一,原生支持文本、图像和音频推理,上下文窗口达 1M tokens,权重以 Apache 2.0 协议在 Hugging Face 上提供。
🚨 AI News | TestingCatalog@testingcatalogAI 评分4646
MiniMax (official)@MiniMax_AIAI 评分4848引用𝔹𝕃𝕍ℂ𝕂𝕃!𝔾ℍ𝕋@BLVCKLIGHTaiI’m seeing way better videos coming from H3 than 2.5 on the timeline. And more of them. I think cost is a big part of it, plus the speed of inference, and custom audio uploads working as intended. My thesis holds still that at a certain point unless you are actually fixing the pressure points creatives have with your tools, cost and speed are going to win. Unlimited generations are NOT a pipe team. It all comes down to hourly costs divided by users. At some point if you can scale you’ll run at a surplus and can run unlimited.
Dongxi 东锡 NLP@dongxi_nlpAI 评分5151引用Sebastien Bubeck@SebastienBubeck是的,非索菲群确实存在:这一陈述是 Astra——我们的下一个重大模型——所证明的众多新的漂亮结果之一。 我们正在发布 10 个这样的 Astra 证明,每个都附有完整的 Lean 证书和思维链(CoT)详解。这些结果范围广泛,从冯·诺依曼代数(对 Connes 刚性猜想的反证)到高维球填充、电路复杂度、多色图中的单色三角形等问题的更优界,等等。 更多想法见:https://openai.com/index/ten-advances-in-mathematics/
Aravind Srinivas@AravSrinivasAI 评分5858引用Chubby♨️@kimmonismusDeepSeek V4-Flash isn’t just cheaper per token. It reportedly completes the same benchmark tasks as Fable 5 at 105× lower total cost, according to @ArtificialAnlys ! That's precisely why the Flash release is, for me, the DeepSeek 2.0 moment. It will cause a huge stir.
MarkTechPostAI 评分4848 AMD 发布 Instella-MoE-16B-A3B:基于 Instinct GPU 训练的完全开源 MoE 大语言模型
AMD 发布 Instella-MoE-16B-A3B,一个完全开源的混合专家(MoE)大语言模型,总参数 16B,每个 token 仅激活 2.8B 参数,在 Instinct MI300X 和 MI325X GPU 上从头训练。
Odyssey@odysseymlAI 评分1212
Nathan Lambert@natolambertAI 评分5959大语言模型是推动人类进步的美妙引擎。我们只需主动管理向强大AI的转型,其益处将是巨大的。
引用Noam Brown@polynoamialAn internal version of Astra, @OpenAI’s next major model family, solved 10 major open problems in mathematics, quantum complexity, and theoretical computer science. We believe it will be a major step for scientific reasoning. https://openai.com/index/ten-advances-in-mathematics/
Tibo@thsottiauxAI 评分5555引用Sebastien Bubeck@SebastienBubeck是的,非索菲群确实存在:这一陈述是 Astra——我们的下一个重大模型——所证明的众多新的漂亮结果之一。 我们正在发布 10 个这样的 Astra 证明,每个都附有完整的 Lean 证书和思维链(CoT)详解。这些结果范围广泛,从冯·诺依曼代数(对 Connes 刚性猜想的反证)到高维球填充、电路复杂度、多色图中的单色三角形等问题的更优界,等等。 更多想法见:https://openai.com/index/ten-advances-in-mathematics/
The Decoder:AI NewsAI 评分6565 字节跳动发布 Seedance 2.5,可生成带内置音频的 30 秒视频片段
字节跳动推出 AI 视频模型 Seedance 2.5,可一次性生成视频与音频,片段最长 30 秒且支持多次扩展,而 Google Gemini Omni Flash 上限约 10 秒。
The Decoder:AI NewsAI 评分7878 OpenAI 发布“下一代主要模型”Astra,攻克十道多年未解数学难题
OpenAI 正式确认其“下一代主要模型家族”Astra,称内部版本已解决数学与理论计算机科学领域的十道开放难题,其中一道证明建立了非 sofic 群的存在性,相关领域数学家至少十年未获进展。
🚨 AI News | TestingCatalog@testingcatalogAI 评分4949引用Greg Brockman@gdbten significant advances in mathematics and theoretical computer science. solved using an internal version of Astra, our next major model, for a total cost of about $2000 at Sol API prices:
Noam Brown@polynoamialAI 评分7272引用Noam Brown@polynoamialAn internal version of Astra, @OpenAI’s next major model family, solved 10 major open problems in mathematics, quantum complexity, and theoretical computer science. We believe it will be a major step for scientific reasoning. https://openai.com/index/ten-advances-in-mathematics/
MarkTechPostAI 评分6464 MiniMax 发布 MiniMax H3:可生成 15 秒 2K 原生立体声视频的全模态模型
MiniMax 于 7 月 31 日发布全模态生成模型 MiniMax H3,将文本、图像、视频和音频作为统一上下文处理,直接输出带原生立体声的 2K 视频,时长 4–15 秒。
Noam Brown@polynoamialAI 评分7575OpenAI 下一代模型家族 Astra 的内部版本解决了数学、量子复杂性和理论计算机科学领域的 10 个重大开放问题,包括计算永久式的新电路下界。OpenAI 认为这将是科学推理领域的一大步。
引用Lijie Chen@wjmzbmr110 proofs from our next major model Astra on long-standing open problems in mathematics and theoretical computer science (also including new circuit lower bounds for computing the permanent!) GPT-5.6 has already enabled so much exciting work in math and science. Can’t wait to see what comes next!
MiniMax (official)@MiniMax_AIAI 评分3737引用Leanna Ren@RenLeannaThis exactly echoes our training methodology: language/image/video/audio are all deeply interconnected modalities of human experience. And multimodal intelligence should be grounded in language which is a generalizable and scalable computational system. Really, really appreciate you digging this up!🙌
MiniMax (official)@MiniMax_AIAI 评分6060引用MTS@MTSliveSITUATION EXPLAINED: MiniMax released H3 with open weights, and it's already #1 in video editing. • Priced at $7.80 per minute of 2K video, against Seedance 2.0 at $22.45 and Kling 3.0 at $20.16 • It ranks #1 on Artificial Analysis for video editing, #2 for text-to-video behind Gemini Omni Flash, and #3 for image-to-video • H3 takes text, images, video, and audio in a single context and generates 5-15 second clips at native 2K, 24fps, with native stereo audio • MiniMax is releasing the weights under its Community License within days, which would make it the strongest open-weights video model by a wide margin • It launched the same week ByteDance rolled out Seedance 2.5, which now generates 30-second 4K video from a single prompt • Seedance 2.5's face consistency across a full 30 seconds is the visible jump, earlier models drifted into a different face partway through • Voices are still the obvious tell, the video reads as real long before the audio does • Smaller labs building purpose-built video models are now beating frontier labs at this specific task @theojaffee: "This is gonna be one of the biggest examples of things that people are gonna do with these models, historical simulations, basically. Nostalgia videos for zoomers."
SiliconFlow@SiliconFlowAIAI 评分6161IT之家·人工智能AI 评分6363 DeepSeek-V4-Flash 正式版跑分报告:约 98% 缓存命中折扣打造 AI 极致性价比
DeepSeek-V4-Flash 正式版 API 上线公测,在 Artificial Analysis 智能指数(AII)中获 50 分,较 4 月版提升 10 分,比 V4 Pro 高 6 分,仅比 GPT-5.6 Luna 低 1 分。
IT之家·人工智能AI 评分5050 OpenAI 奥尔特曼推介 Astra 模型:协同 AI 智能体工作,主打长周期任务能力
OpenAI 首席执行官奥尔特曼本周在美国国会山展示名为 Astra 的全新 AI 系列模型,重点提升长周期任务处理能力。Astra 支持智能体拆分任务,让多个智能体协同工作,解决单个智能体无法处理的复杂问题。奥尔特曼于 7 月 29 日会见美国参议员拉斐尔·沃诺克和伯尼·莫雷诺。
Simon Willison 博客AI 评分7878 DeepSeek-V4-Flash-0731 发布:304B 参数,智能体能力大幅增强
DeepSeek 发布 V4 系列最新模型 DeepSeek-V4-Flash-0731,拥有 3040 亿参数,智能体能力大幅增强。Artificial Analysis 评测显示其表现优于 428B 参数的 MiniMax M3。定价为每百万输入 token 0.14 美元、每百万输出 token 0.27 美元,可能是当前性价比最高的模型。
MarkTechPostAI 评分7171 DeepSeek 发布 DeepSeek-V4-Flash-0731,智能体与编程能力大幅提升
DeepSeek 于 7 月 31 日发布 DeepSeek-V4-Flash-0731,并将 V4-Flash API 开放公测。该版本沿用 284B 参数 MoE 架构,通过重新后训练实现性能跃升,在智能体基准上全面超越 V4-Pro(预览版)。API 定价为缓存未命中时每百万输入 token $0.14,输出 token $0.28,权重采用 MIT 许可。
Artificial Analysis@ArtificialAnlys精选AI 评分7878推荐理由:DeepSeek 把 V4 Flash 的智能效率往前推了一步,MIT 许可让商业应用毫无顾虑,做轻量级部署的团队可以立刻换上。
Logan Kilpatrick@OfficialLoganKAI 评分4545与 Google DeepMind 机器人团队的一次对话,探讨我们最新的 Gemini Robotics 2 模型、机器人技术进步的轨迹,以及我们下一步的方向 🤖

Artificial Analysis@ArtificialAnlysAI 评分6262
MiniMax (official)@MiniMax_AIAI 评分6868引用OpenArt@openart_aiMiniMax H3 is live on OpenArt 🔊 @MiniMax_AI • 2K video with native audio built right in • 5 to 15 second clips • Text, image, and audio to video • Start frame, end frame, and reference image support • Wonder users get unlimited H3 until August 05. Terms & conditions apply. Try it now: http://openart.ai/suite/create-video/minimax-h3
Greg Brockman@gdbAI 评分4646引用Simon Willison@simonwOK, GPT-5.6 Luna is a bit of a beast. Given the 80% price drop today I decided to try it in Datasette Agent, and it's furiously quick and generates all the SQL, HTML and JavaScript (for Datasette Apps) I could possibly want
Elon Musk@elonmuskAI 评分5050引用DogeDesigner@cb_dogeBREAKING: Grok 4.5 outperforms GPT-5.6 Terra across almost all shared benchmarks on AskClash, leading in ACB, GPQA, SWE-P, and Atlas while also achieving a higher overall score. 🔥
The Decoder:AI NewsAI 评分6666 Google DeepMind 推出 Gemini Robotics 2,为各类机器人提供智能层
Google DeepMind 发布 Gemini Robotics 2,称其为迄今最先进的视觉-语言-动作(VLA)模型,可控制从桌面机械臂到全身人形机器人的各类系统。该模型支持全身运动、精细操作及多机器人协同,开发者可通过候补名单申请早期访问。同期发布的 Gemini Robotics ER 2 专为具身推理设计,已上线 Google AI Studio。
Rohan Paul@rohanpaul_aiAI 评分4444Atomic Chat 将 Kimi K3 量化为 1-bit,模型从 2.8T 参数压缩至 590GB(-62%),保留 78.7% 原始质量和完整 1M 上下文。
引用atomic.chat@atomic_chat_hq1-bit Kimi K3 performs at Opus 5 level on 3D physics! We ran our Atomic Chat quant of Kimi K3 locally on 4x B200 against three cloud models and gave them all the same task, to build a giant anvil drop test as a single HTML file with real physics Outputs: K3 1bit (local): 15.8K tokens, $0 API cost Kimi K3 (API): 15.3K tokens, $0.30 API cost Opus 5: 22.8K tokens, $0.77 API cost GPT 5.6: 14.5K tokens, $0.72 API cost All four got the physics right. But only Kimi made a working winch. The drum turns and the chain drags the flat car off the pad. Opus 5 drew the most detail, road markings and sparks on the hit. And you can run a model at this level on your own box now. That still feels insane to us
The Decoder:AI NewsAI 评分7070 Thinking Machines 发布第二款模型 Inkling Small,主打效率而非规模
Thinking Machines 发布开源推理模型 Inkling Small,在 Intelligence Index 上得分 40,仅比更大的 Inkling(41)低 1 分,而总参数量不到后者的三分之一(276B 总量,12B 激活)。
🚨 AI News | TestingCatalog@testingcatalogAI 评分5454引用MiniMax (official)@MiniMax_AIMiniMax H3: Omni-Reference, Commercial-Grade Generation, Unbeatable Cost Efficiency, Open Weights http://x.com/i/article/2082827161099272192
MiniMax (official)@MiniMax_AIAI 评分6363引用Leonardo.Ai@LeonardoAiMiniMax H3 is on Leonardo. Most video models give you a clip. H3 gives you the clip and the soundtrack — with your character and voice locked in from refs. Expect: - Commercial-grade quality across ads, e-commerce, gaming & UI - Best value in its class - One lightweight model, fully multimodal Built for one-shot finished content: brand teasers, product videos, fashion films, talking characters
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