Kimi K3 in VS Code: Token Router and Cline setup

This tutorial covers browser access to Kimi K3 through GenSpark and a VS Code coding assistant setup through Token Router. Both methods use hosted services; the guide does not show how to run models locally.

The speaker describes Kimi K3 as an open source model with native vision and a one-million-token context window. They compare reported coding benchmark results with Claude Fable 5, GPT 5.6 Sol and Opus 4.8, while noting weaker performance in some business and finance tasks. These specifications and comparisons are claims presented in the video, rather than independently verified results.

The GenSpark walkthrough covers signing in, opening AI chat and selecting Kimi K3. The speaker discusses free credits and reports having encountered no rate limits during their use, which does not establish unlimited access.

For VS Code, the guide starts with Kilo Code's custom provider settings. It shows how to create a Token Router API key, copy the base URL and model ID, and enable reasoning mode. The speaker explicitly says that free Kimi K3 access on Token Router is a limited-time offer at recording.

An unspecified Kilo Code issue prompts a switch to Cline. The speaker selects its OpenAI-compatible provider, enters the same connection details and tests the connection with a greeting. The demonstration checks basic connectivity, not a completed coding task.