Kemi K3? The model people mean is Kimi K3

There is no model named Kemi K3. The name people mean is Kimi K3, the flagship model from Moonshot AI (the company behind Kimi). The "Kemi K3" spelling is a common typo, the letters "e" and "i" sit next to each other on the keyboard, and it shows up in search and AI-chat questions for the same reason.

"Kemi" also exists as a real word: it is Finnish for "chemistry" and the name of a town in northern Finland. Neither has any connection to an AI model. If your question is about the large language model that codes, reasons, and reads images, the name is Kimi K3.

This page uses the correct name from here on and links to the official sources, so you can verify the details yourself instead of trusting a paraphrase.

Kimi K3 is Kimi's flagship model, published with 2.8 trillion parameters. It is built on Kimi Delta Attention (KDA), a hybrid linear attention mechanism, plus Attention Residuals, and it has native visual understanding and a one-million-token context window. Moonshot AI describes it as the first open-source model in the 3-trillion-parameter class, and it has released the full model weights.

The model is aimed at long-horizon work rather than short lookups: coding inside large repositories, end-to-end knowledge work, and visual reasoning that combines screenshots with text. Its mixture-of-experts design activates 16 of 896 experts, and Moonshot AI reports roughly 2.5x the scaling efficiency of the previous K2 generation.

Kimi K3 always runs with thinking mode enabled; reasoning effort can be set to low, high, or max, with max as the default. These specifications come from the official Kimi K3 documentation and the OpenRouter model card for moonshotai/kimi-k3. This page was reviewed on October 12, 2026.

There are two practical ways to use Kimi K3. The first is the hosted interface on this site, K3 Kimi: open the homepage, sign in, and choose a paid plan or credit pack. A text response costs 100 credits and a response with one image costs 150. The cost is shown before you send, and a one-time 1,000-credit starter pack costs $9.90.

The second is the API. You can call Kimi K3 through the Moonshot AI platform (model kimi-k3) or through OpenRouter as moonshotai/kimi-k3. The API path is for developers who need custom payloads, larger context, or their own tool orchestration. For a plain chat, the hosted interface is simpler.

For a step-by-step walkthrough of the first prompt, follow-ups, image input, and verification, read the how-to-use guide. Review the pricing page for the current plan catalog.

Kimi K3 is the clear choice over the original Kimi K2 Instruct generation for long-horizon coding, deep reasoning, and work that combines text with images: it has more parameters, a one-million-token context window instead of 128K, native image input, and maximum reasoning. The original Kimi K2 still makes sense for teams that self-host its open weights or need a lighter text-only path. The full side-by-side is in the Kimi K3 vs Kimi K2 comparison.

Within the current Kimi family, the choice is more about the task than the badge. Moonshot AI also publishes Kimi K2.7 Code, a coding-focused model with a 256K context window and text, image, and video input, and Kimi K2.6, a general-purpose model with the same 256K window. If your job is primarily fast code generation and editing, K2.7 Code (or its high-speed variant) can be the better pick; if you need the deepest reasoning on a hard, long-horizon problem, K3 is the flagship choice.

The honest answer to "which is better" is to test your own representative task. Published benchmarks are selection signals, not a guarantee, see the benchmark guide for a method based on real examples.