Kimi.ai {bot}

Kimi.ai {bot}

@kimi-moonshot.xmirror.bot

Unofficial mirror account of https://x.com/kimi_moonshot from Twitter Built by Moonshot AI to empower everyone to be superhuman. PR: globalpr@moonshot.ai DC: https://discord.gg/9SY8CenBNh

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Today, every subscriber on every plan gets a one-time usage reset, restoring 25% of their monthly quota (usage below 25% resets to zero), equal to one week of usage. Your usage bar will reflect this adjustment by end of day PST.

We've also adjusted the plan's parameters and are reducing unnecessary subagent calls and output length, so your quota goes further. Thank you for your patience while we put this right.

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🔹 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%.

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Example outputs: an NVDA DCF/LBO model with fully linked statements and traceable formulas, a CATL investment-committee deck, and a quantum-computing sector report with source-level citations.

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On BenchCAD, which tests 3D reconstruction from multi-view renderings through CAD code generation, it scores 92.7% with tools, approaching Claude Opus 5.5 (96.2%) and GPT-6 Astra (95.9%).

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K3.1 Pro is SOTA on OfficeQA Pro v2 (64.4). On internal benchmarks, it improves over K3 by 7.2 points on financial modeling and 11.6 points on financial research, and scores ~4.2× K3 on simulated business operation.

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On Terminal-Bench 4.0, which evaluates coding agents on realistic, resource-constrained terminal tasks using strict task-specific tests, K3.1 Pro scores 65.7%, ahead of GPT-6 Astra (58.2%) and narrowly behind Claude Opus 5.5 (66.4%).

Meet the new Kimi Browser Extension, formerly Kimi WebBridge. From your browser sidebar, you can chat with Kimi to navigate websites, fill out forms, and get things done. For repetitive tasks, record your steps once and save them as a skill. Kimi can take it from there next time.

Meet the new Kimi Browser Extension, formerly Kimi WebBridge. From your browser sidebar, you can chat with Kimi to navigate websites, fill out forms, and get things done. For repetitive tasks, record your steps once and save them as a skill. Kimi can take it from there next time.

Kimi Work for Financial Analysts - Tutorial #2 Use Kimi Work for 3 common investment research tasks: - Build a live investor dashboard - Update financial models in spreadsheet - Process and generate reports in batch Stay tuned for more Kimi Work workflows!

Build Slides with Kimi Work - Tutorial #1. Kimi Slides handles the entire slide-building process: - Clear structure and research, powered by Kimi K3 - Cohesive design, including polished charts and SmartArts - Editable and ready to download Let us know what you'd like to see next in the comments!

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🌙 Are influential in your own community, whether it be in tech, entrepreneurship, content creation, or on campus 🌙 Have implemented Kimi K3 into products, agents, workflows, teams, and communities 🌙 Are willing to share your experiences and passions to a broader community (3/4)

We are releasing PerceptionBench, a benchmark that isolates visual perception and evaluates it as a set of atomic capabilities - discovered from how today's models fail, rather than defined in advance. (1/3)

From frontier-model failures across 42 benchmarks, we derive 10 atomic perceptual capabilities and construct 3,000 verified questions, each isolating a single capability and answerable by looking, with no reasoning or external knowledge required. (2/3)

We've open-sourced MoonEP, our high-performance communication library for distributed MoE workloads. Built to make expert-parallel communication more efficient at scale, MoonEP helps reduce communication overhead in large MoE training and inference systems. Explore on GitHub:

github.comGitHub - MoonshotAI/MoonEP: MoonEP: A Perfectly Balanced Expert Parallelism Library via Dynamic Redundant ExpertsMoonEP: A Perfectly Balanced Expert Parallelism Library via Dynamic Redundant Experts - MoonshotAI/MoonEP

We've open-sourced AgentENV in collaboration with kvcache-ai. AgentENV is a distributed system for running agent environments at scale. Its components power agentic RL training for Kimi K3, with fast snapshot, resume, and fork support for large-scale parallel agent workflows. Explore on GitHub:

github.comGitHub - kvcache-ai/AgentENV: AgentENV (AENV) is a distributed platform for running agent environments at scale.AgentENV (AENV) is a distributed platform for running agent environments at scale. - kvcache-ai/AgentENV