Kimi K2

Moonshot AI’s latest mixture-of-experts model featuring 32 billion activated parameters and 1 trillion total parameters. Achieves state-of-the-art performance in knowledge-intensive research tasks.

Key Features

• Mixture-of-Experts architecture with 32B activated parameters (1T total)
• Optimized for complex research workflows and knowledge retrieval
• Part of Moonshot AI’s Kimi series

Benchmark Comparison

Evaluated against competing AI research agents on knowledge-intensive tasks:

• gemini (Google)
• chatgpt (OpenAI o3)
• Grok DeepSearch (X)
• Manus (research agent)
• Mistral 3 Large (675B MoE, Apache 2.0)

Video analysis: Kimi K2 Research Capabilities

2026 04 14 Kiki K2 Prompt Engineering 2026 04 14 Mistral latest model

Source Notes

• 2026-04-07: Google Gemma 4 Advanced Open Source AI Models for Efficient Edge · ▶ source
• 2026-04-10: LM Studio LM Link Remote LLM Access for Portable Devices · ▶ source
• 2026-04-12: Kimi K25 Local AI Cluster Performance vs ChatGPT and Claude · ▶ source
• 2026-04-14: # Performance of Open source LLM models on coding --- --- https://www.youtube.com/watch?v=xRnK2IFI31E The video presents a comparison of several leading AI models, including Qwen3, Kimi K2, Claude Opus 4, and Deepseek-V3-0324, showcasing their performance across various benchma (Performance of Open source LLM models on coding)