Mohamed Hazeem retweeted
Introducing LongCat-2.5, our latest natively multimodal agentic model with 1.6T total parameters and ~48B active.
Built for long-horizon agentic tasks, it brings stronger visual understanding and agentic coding to work ranging from complex coding projects to visual coding such as creative design and 3D tasks.
Learn more about LongCat-2.5: longcat.ai/blog/longcat-2.5/
Mohamed Hazeem retweeted
Çin’de bir üretici, su arıtma cihazının performansını göstermek için çamurlu suyun ortasında test gerçekleştirdi. Ultrafiltrasyon sistemiyle kirli suyun filtrelenerek berraklaştırıldığı anları görüntüledi.
Mohamed Hazeem retweeted
From recognizing text to understanding documents. 📄
Meet Xiaomi-OCR-0, an open-source document understanding model with just 0.8B parameters.
It brings document parsing, key information extraction, and OCR-oriented visual question answering into one lightweight model.
It scores 95.24 on Real5-OmniDocBench and 83.2 on average across five OCR-oriented VQA benchmarks.
On OmniDocBench v1.6, Xiaomi-OCR-0 ranks first in document parsing performance among models with fewer than 1B parameters.
Model weights, inference code, an interactive demo, MCP service, and Agent Skill are now open source. 👇
🤗 Huggingface: huggingface.co/xiaomi-resear…
🔗 GitHub: github.com/xiaomi-research/X…
📄 Demo: huggingface.co/spaces/loongw… #XiaomiAI #OCR #OpenSource
Mohamed Hazeem retweeted
Qwen3.8-Flash is now available in the European Union on Alibaba Cloud Model Studio.
Leverage its advanced reasoning, multimodal capabilities, and high-speed performance to develop intelligent AI applications.
Build with Qwen3.8-Flash: click.alibabacloud.com/m/200…
#AlibabaCloud #Qwen #ModelStudio #EuropeanUnion
Mohamed Hazeem retweeted
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
🔹 Full-project coding: games in Unreal, Unity & Godot.
🔹 Excels at parametric 3D modeling in Blender & CAD.
🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%.
🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.
Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.
Open weights by Nov 4, 2026.
🔗 API: platform.kimi.ai
🔗 Tech blog: kimi.ai/blog/kimi-k3-1-pro
Mohamed Hazeem retweeted
Will they ever meet? 🤔👀
Two men are walking around a massive circular water tank, trying to find each other.
Mohamed Hazeem retweeted
Introducing Ling-3.1-flash-1019 🚀
It scores 44 on the Artificial Analysis Intelligence Index, up from 41 for Ling-3.1-flash. Gains in agentic work: AA-Briefcase ~1400→1524 Elo and AutomationBench-AA 62%→68%.
API access and open weights coming soon. Stay tuned.
Mohamed Hazeem retweeted
Space Bunny just landed in Qoder.
MiniMax M3.1 Flash is available from Day 0 across the Qoder suite. Switch models and put it to work.
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: platform.minimax.io
M Plan: minimax.io/m-plan
MiniMax Code for desktop: agent.minimax.io/download
