Kimi K2.6: OpenCode setup and Hugo blog redesign

Kimi K2.6 is the focus of this benchmark overview and coding tutorial. The speaker compares Moonshot AI's model with GPT-5.4 and Claude Opus 4.6, citing Humanity's Last Exam and coding benchmarks. He reports a score of 54 on Humanity's Last Exam and describes stronger results than those two models on selected tests. These are the benchmark claims presented in the video, rather than an independent evaluation.

The setup uses OpenCode as a coding assistant connected to Hugging Face Inference Providers. The walkthrough covers creating an account, generating an access token with permission to call inference providers, connecting the provider, and selecting Kimi K2.6. Although the speaker describes the model as open source and downloadable, he reports 1.1 trillion parameters and uses hosted inference. This tutorial does not demonstrate how to run models locally.

For the practical test, he asks Kimi to replace his Hugo blog's Blowfish theme with a minimalist custom theme while retaining its content and functionality. He reviews the result through Hugo's local server on port 1313 and reports that links, the resume page, theme switching, and Buy Me a Coffee still work. The run reportedly uses about 130,000 tokens and costs $1.50. The closing comparison discusses subscription access and usage-based inference pricing; that single task's cost is not a general estimate.