My Review on Kimi K2 Thinking After Days of Testing…

Quick Overview

Moonshot AI's Kimi K2 Thinking model demonstrates superior performance in agentic tasks, outperforming top models like GPT-5 and Claude 4.5 on the r²-Bench Telecom test with a 93% score, though it was slower and had minor implementation issues (like UI theme mismatch in one test) compared to Claude, ultimately proving its strong potential in complex reasoning and coding capabilities.

Key Points: Kimi K2 Thinking achieved the top score of 93% on the r²-Bench Telecom (Agentic Tool Use) benchmark, surpassing GPT-5 (87%) and Claude 4.5 Sonnet (78%). In a complex coding test to build a 3D pinball game, Kimi K2 took longer than Claude but successfully implemented the game, including sound effects, which Claude failed to do. In a project management authentication test, Kimi K2 successfully implemented Firebase authentication, while Claude generated a login/signup page that mismatched the website's dark UI theme. Kimi K2 Thinking is priced significantly lower than competitors, with an output price of $0.60 per 1M tokens for the k2-thinking model compared to Claude Sonnet 4.5's $3 per 1M input tokens. Kimi K2 Thinking can execute up to 200-300 sequential tool calls without human interference, highlighting its advanced reasoning capabilities. The video also showcases the capabilities of Make.com for visual orchestration of AI agents and automations across various business functions.

Context: This video reviews and benchmarks the Kimi K2 Thinking model from Moonshot AI, a Chinese AI company, comparing its performance, speed, and cost-efficiency against leading models like OpenAI's GPT-5 and Anthropic's Claude 4.5 (specifically Sonnet and Opus) across several agentic and coding tasks. The review aims to strip away marketing hype to assess real-world capabilities.

Detailed Analysis

The video performs three main tests to evaluate Kimi K2 Thinking: agentic tool use, complex coding, and feature implementation (authentication). In agentic tool use (r²-Bench Telecom), Kimi K2 scored 93%, clearly leading GPT-5 (87%) and Claude models. For the first coding test (creating a 3D fashion website prototype), Kimi K2 completed the task but had minor UI bugs, while Claude took longer and failed to implement sound effects. For the second coding test (creating a 3D pinball game), Kimi K2 took longer than Claude but successfully implemented the game with sound effects, whereas Claude's implementation was not fully dynamic. For the authentication feature test, Kimi K2 successfully integrated Firebase authentication without breaking existing code, while Claude generated the required UI but failed to adhere to the existing dark theme. Cost-wise, Kimi K2's pricing is shown to be highly competitive, significantly cheaper than Claude's offerings. The video concludes that while Kimi K2 is incredibly impressive and cost-effective, it still has minor inconsistencies and speed issues compared to Claude, though it excels in agentic benchmarks. The latter part of the video pivots to showcase Make.com's visual orchestration platform for building and managing AI agent workflows.