Kimchi Blog

GLM-5.2 beat Claude Fable 5 on one leaderboard. Here's what the rest of the data says.

Open weights now sit within 1-3 points of the frontier on individual coding benchmarks at 6-30x lower cost. On composites, private benchmarks, and long-horizon agentic work, the frontier lead is intact.

Kimchi Team · 9 min read

A two-day hackathon on Kimchi inference, at 1/13th the frontier cost

~120,700 requests. 1,580 active sessions. ~98% success rate. ~$4.4k total spend - about 1/13th of the modeled frontier-model cost.

Kimchi Team · 5 min read

Claude Code costs $2,000/month per engineer. Here's what we built instead.

Why utility-priced AI coding tools blow budgets when deployed like SaaS, and how Kimchi's model orchestration and spend console fix it.

Laurent Gil · 6 min read

Kimchi Coding is GA, and why we built it

Today we take Kimchi Coding out of Early Access. It's live at kimchi.dev with full production support behind it — and this is the story of why we built it.

Laurent Gil · 6 min read

Why we use 3 models instead of 1 for every coding task

How Kimchi routes seven coding roles across Kimi K2.7, MiniMax M3, and Nemotron-3-Ultra - and why matching the model to the task cuts cost 40–60% without sacrificing quality.

· 6 min read

Inside the Coding Harness: Why Architecture Beats Models for AI Development

The difference between autocomplete tools and a coding harness is not the model. It's the architecture.

· 6 min read

Kimchi Coding becomes the first coding agent to integrate MiniMax M3

We added MiniMax M3 to the recipe. Kimchi Coding just got spicier!

· 5 min read

The $500 Million AI Bill

Why Generative AI is Breaking the SaaS Procurement Model

· 7 min read

Say hello to Kimchi

· 5 min read