Shubham Saboo · @Saboo_Shubham_

After DeepSeek R1, there's new Claude 4 level model from China that outperforms DeepSeek v3, Qwen and OpenAI...

查看 @Saboo_Shubham_ 在 2025年7月11日 15:29 发布的这条 X/Twitter 推文。 这条内容包含 5 个视频和 2 张图片。

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2025年7月11日 15:29
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查看 @Saboo_Shubham_ 在 2025年7月11日 15:29 发布的这条 X/Twitter 推文。 这条内容包含 5 个视频和 2 张图片。

After DeepSeek R1, there's new Claude 4 level model from China that outperforms DeepSeek v3, Qwen and OpenAI GPT-4.1

Meet Kimi k2 - 1 trillion parameter model purpose-built for agentic workflows with native MCP integration.

100% Opensource and FREE to try. Let that sink in. 
Shubham Saboo media
Kimi k2 by @Kimi_Moonshot is a SOTA AI coding model that gives amazing 1 shot results at coding prompts. 

Kimi k2 comes in two variants: 

→ K2-Base for researchers who want full control for fine-tuning and custom solutions.

→ K2-Instruct for drop-in general-purpose chat and AI Agent experiences.

@Kimi_Moonshot Kimi K2 beats Claude Sonnet 4 and GPT-4.1 across coding benchmarks.

65.8% on SWE-bench Verified vs Claude's 50.2% and GPT's 40.8%.

SOTA performance in math, coding, and AI Agent tasks among non-thinking models. 
Shubham Saboo media
@Kimi_Moonshot Great for Agentic workflows.

Kimi K2 performed 16 tool calls to generate statistics, visualizations, and an interactive webpage.

Complete analysis from raw data to insights in seconds.

@Kimi_Moonshot Another coding example: 3D Particle Galaxy Simulation built with Kimi k2

@Kimi_Moonshot Kimi K2 runs directly in your terminal.

It understands your environment, decides what actions to take, and executes them seamlessly.

It just built a 3D Minecraft web version from a single prompt. 
@Kimi_Moonshot Also available as an API:

- $0.15 / million input tokens (cache hit) 
- $0.60 / million input tokens (cache miss) 
- $2.50 / million output tokens

Almost ~5x cheaper than Claude 4 Sonnet and Gemini 2.5 Pro.

GitHub Repo: https://github.com/MoonshotAI/Kimi-K2
@Kimi_Moonshot Stay tuned for more details, follow me → @Saboo_Shubham_

I have created 100+ AI Agents and RAG tutorials, 100% free and opensource.

P.S: Don't forget to star the repo to show your support 🌟

https://github.com/Shubhamsaboo/awesome-llm-apps/
@Kimi_Moonshot 100+ free step-by-step tutorials with code covering:

🚀 AI Agents
📀 RAG Systems
🗣️ Voice AI Agents
🌐 MCP AI Agents
🤝 Multi-agent Teams
🎮 Autonomous Game Playing Agents

P.S: Don't forget to subscribe for FREE to access future tutorials.

http://theunwindai.com

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