Kimi K3 vs GPT-4o Mini

Kimi K3 is Moonshot AI's newest and most capable model, released in July 2026. At 2.8 trillion parameters, it's the largest open model anyone has shipped so far, and it can hold about a million tokens in memory at once. That's enough room for an entire codebase or a full stack of long documents in a single chat. It comes in two versions: K3 Max for everyday chat and coding, and K3 Swarm Max, which splits one big job across many copies of the model working in parallel.

Where K3 really earns its keep is coding. It's good at finding its way around large projects, making changes that touch many files, and fixing bugs by reading your actual test results and error logs instead of guessing. You can also share screenshots, diagrams, and error messages as images, and it will answer based on what's actually on the screen.

In early testing, K3 beats Claude Opus 4.8 and GPT-5.5 on several coding tests while costing far less to run. It still sits a step below Claude Fable 5 and GPT-5.6 Sol overall, so for the very hardest questions you may get a better answer from one of those. On Aymo, switching between them takes one click.

OpenAI's older small model was built for fast, cheap, focused tasks. GPT-4o Mini reads text and images and handles classification, extraction, translation, and short-form generation well. It is affordable and reliable for simple work, but it is now several generations old, with a modest feature set and outdated knowledge. OpenAI itself recommends newer small models for anything demanding.