Kimi K2.6: The Open Model That Beats Claude + GPT-5 #shorts

Moonshot AI just dropped Kimi K2.6 — a 1 trillion parameter open source model with a 4,000 tool call agent swarm that leads SWE-Bench Verified and outpaces Claude 4.7 and GPT-5. Here is how to install it in 60 seconds.

— What You Will Learn —
0:02 Hook — Beats Claude + GPT-5
0:13 What Is Kimi K2.6 — 1T Params MoE
0:24 Benchmarks — SWE-Bench Leader
0:35 Install — Kimi Code CLI
0:46 Agent Swarm — 4,000 Tool Calls
0:57 Free Guide + Subscribe

— Key Features —
— 1 trillion parameters with 32B active via Mixture-of-Experts
— 256K context window (262,144 tokens)
— Apache 2.0 fully open source weights
— 300 sub-agents coordinate 4,000 tool calls autonomously
— 12 hours continuous execution in a single run
— 13-hour autonomous overhaul of exchange-core, 185% throughput gain
— Leads SWE-Bench Verified, HLE-Full 54.0, BrowseComp 83.2
— DeepSearchQA 92.5, SWE-Bench Pro 58.6, LiveCodeBench 89.6
— Drop-in replacement for Claude Code via ANTHROPIC_BASE_URL
— Kimi Code CLI installs with a single curl command

— Links —
— Kimi Chat: https://kimi.com
— Kimi K2.6 Blog: https://kimi.com/blog/kimi-k2-6
— Kimi Code CLI: https://www.kimi.com/code
— Moonshot API Platform: https://platform.moonshot.ai
— HuggingFace Weights: https://huggingface.co/moonshotai/Kimi-K2-Instruct-0905
— Free Guide: https://drive.google.com/file/d/1QSmOi_Hm0h47XMtZeh52YZ7sBKv9LHc3/view?usp=drivesdk

— Recommended Channels —
3Blue1Brown, Two Minute Papers, freeCodeCamp, Matt Wolfe, Matthew Berman, DeepLearning.AI, Krish Naik, Sentdex, Yannic Kilcher, Nate Herk

#KimiK2 #MoonshotAI #OpenSource #AIAgents #ClaudeCode #GPT5 #LLM #MachineLearning #DevTools #Coding #AITools #shorts