Space Bunny was MiniMax M3.1 Flash #1 on OpenCode for 12 consecutive days, 106T tokens served Now available on OpenCode, free for the next 3 days https://t.co/Ng5SoBFThI
#产品更新#编码#开源生态
Stealth model reveal 🐰 Space Bunny was OpenRouter’s #1 model for 10 straight days, processing 56.7T tokens! The most of any stealth model we’ve run. Space Bunny hopped off OpenRouter on Oct 5. It's back today as @MiniMax_AI's M3.1 Flash, and it's free for the next 72 hours. https://t.co/2i0HsEibp5
#模型发布#OpenAI
#产品更新#编码#OpenAI
Mercury 3 from @_inception_ai is live on AI Gateway at a 50% discount. A high-throughput diffusion model with a 1M-token context window and support for tool calling and structured outputs. 𝚒𝚗𝚌𝚎𝚙𝚝𝚒𝚘𝚗/𝚖𝚎𝚛𝚌𝚞𝚛𝚢-𝟹 https://t.co/0FZmayca2J
#其他#模型发布#推理
Introducing SKY-001, the first Engineering World Model. On CAD and BIM tasks, it beats GPT-6 Astra and every frontier model we tested: -> 51-125x faster - > 150-210x cheaper -> Higher IOU than all frontier models SKY-001 lets you dream a physical object before you build it. 18 months of work. Built by the team out of Maluuba's deep learning lab (acq. by @MSRResearch). The first ‘AI General Engineer’ will be the backbone for Autonomous Manufacturing.
#模型发布#多模态#推理
MiniMax M3.1 Flash: Space Performance + Bunny Speed 🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash. 💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed. API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens. Model weights will arrive on Oct 23. API: https://t.co/fHRdSV73Hr M Plan: https://t.co/XfJWSyauda MiniMax Code for desktop: https://t.co/SGmLTI2HQm
#评测/基准#编码#Agent
#模型发布#开源生态#语音
#模型发布#评测/基准#DeepSeek
#模型发布#视频#多模态
Introducing FLUX 3 Max. Fastest in the west. Fast enough to try anything. And everything. Generate a 10-second video in 12 seconds. Tied for #1 in image-to-video. 22× faster than Seedance 2.5 at the same quality. FLUX 3 is a model designed for customization. @fal adapted and optimized it to create FLUX 3 Max.
#大佬观点#模型发布#视频
Introducing FLUX 3 Max, the latest post-trained video model from fal Research in partnership with @bfl_ai. FLUX 3 Max is tied for #1 in image-to-video quality on independent third-party benchmarks, generating a 10-second, 720/768p video in ~12 seconds. For the next three weeks, FLUX 3 Max is 75% off, making it the most affordable frontier video model at its quality level.
#模型发布#视频#开源生态
Introducing FLUX 3 Max, the latest post-trained video model from fal Research in partnership with @bfl_ai. FLUX 3 Max is tied for #1 in image-to-video quality on independent third-party benchmarks, generating a 10-second, 720/768p video in ~12 seconds. For the next three weeks, FLUX 3 Max is 75% off, making it the most affordable frontier video model at its quality level.
#模型发布#视频#推理
Today, Dream Labs is coming out of stealth with Dream-1, a robot foundation model that controls bimanual robots it has never seen, on tasks it was never shown, in places it has never been, from $3/hour. Dream API is live for everyone, today. 🧵 https://t.co/MB1snhUOAJ
#模型发布#具身智能#部署/工程
#模型发布#多模态#视频
#模型发布#推理#开源生态
#模型发布#视频#多模态
英伟达发布面向常驻智能体和边缘计算的开源权重模型。Nemotron 3.5 Super VL 为 1200 亿参数的企业级智能体模型，英伟达称其在指令遵循和工具调用任务上可达到 Nemotron 3 Ultra 相近的准确率；两款轻量 Bolt 模型面向搭载 RTX Spark 芯片的 AI PC 和 DGX Spark 工作站本地运行。Super VL 与 Nemotron 3.5 Bolt 74B-A9B 24GB 已可用，最小的 Bolt E4B 将于本月晚些时候推出。
#模型发布#Agent#端侧
蚂蚁 inclusionAI 在 GitHub 开源 Ming-3.0-tts 语音合成模型，包含 0.5b 稠密模型和基于 Ling V3 的 tiny MoE 模型（7.9B 总参数、1.3B 激活参数），提供推理代码、任务 Cookbook 和评测表。模型支持声音克隆、文本设计音色、100+ 中文与 5 种英文内置音色、自然语言自由控制、14 种副语言标签，可合成中英德西法韩日及川渝话、广粤话。官方称在 Artificial Analysis 榜单上，Controlled Voice 开源模型第 1、Pronunciation Robustness 总榜第 1（93.2%）、Provider Voice 开源模型第 3。
#模型发布#语音#开源生态
蚂蚁 inclusionAI 在 GitHub 开源 Ming-3.0-audio-flash 原生音频模型，采用 126B 参数 MoE 架构、激活参数 6.5B，另有 9.3B 参数、激活 2.7B 的 Ming-3.0-audio-tiny 版本。模型覆盖中英文多方言口音识别、长音频理解、音频推理和端到端语音对话，支持 vLLM-Omni、SGLang 与 Transformers 三种推理方式，采用 MIT 许可。
#模型发布#开源生态#语音
MiniMax 发布推理模型 M3.1 Flash，在 Artificial Analysis 智能指数上得 42 分，比前代 M3 高 13 分，每任务成本不到其一半。该模型在 Humanity's Last Exam 上得 48%，CritPt 得 22%，AA-Omniscience 事实准确率 56%，但幻觉率达 93%。它支持 100 万 token 上下文和文本、图像输入，API 定价为每百万输入 token 0.15 美元、输出 0.60 美元，计划 10 月 23 日开放权重。
#模型发布#推理#开源生态