Long-context coding
Kimi K3 is positioned for codebases, refactors, and debugging sessions that need the model to keep a large amount of source context in view.
Moonshot AI's next flagship pairs a 1M-token context window with long-horizon coding, research, and agentic workflows.
Kimi K3 is Moonshot AI's next-generation flagship model. Kie.ai describes it as a new-architecture Mixture-of-Experts model with about 2.8 trillion total parameters and a 1-million-token context window.
According to the launch article, K3 first appeared on Kimi Code and in the Kimi app on July 16, 2026. Moonshot also introduced K3 Max for chat and agent tasks, plus K3 Swarm Max for larger-scale parallel processing.
K3 is the successor to the Kimi K2 family, including Kimi K2.6 and Kimi K2.7 Code. The main upgrade is not just model size, but the jump to a 1M-token context window.
That larger window gives the model room for long documents, extended codebases, multi-turn research threads, and agent workflows that have to hold more state at once.
Kie.ai notes that some launch details, including active parameter count and API pricing, were not fully published at launch.
Kimi K3 is positioned for codebases, refactors, and debugging sessions that need the model to keep a large amount of source context in view.
The launch materials frame K3 as a model for tool-heavy, multi-step work where planning, state tracking, and iterative execution matter.
The 1M context window makes K3 a good fit for long reports, papers, and thread-style research tasks that need dense source ingestion.
K3 Swarm Max suggests Moonshot is leaning into parallel processing for larger task graphs and multi-agent style problem solving.
K3 launched on Kimi Code and the Kimi app first, which shows Moonshot is treating it as a user-facing flagship rather than a narrow API-only release.
Kimi K2.7 Code is still the more code-specialized model in the K2 line, but Kimi K3 raises the ceiling with a much larger context window and a broader flagship positioning.
K2.7 Code is easier to think of as a focused coding model. K3 is the model for longer-horizon reasoning, broader agent workflows, and heavier context retention.
If you are choosing between them, use K2.7 Code for code-first tasks and K3 when the job spans more documents, more state, or more steps.
| Model | Launch date | Total parameters | Context window | Launch status | Best fit |
|---|---|---|---|---|---|
| Kimi K3 | July 16, 2026 | About 2.8T | 1M | Live on Kimi Code and Kimi app | Long-horizon coding, research, and agent workflows. |
| Kimi K2.7 Code | June 2026 | About 1T | 256K | Released | Code-first work, debugging, and smaller agent loops. |
| Kimi K2.6 | April 2026 | About 1T | 256K | Released | General Kimi family chat and coding tasks. |
| GPT-5.6 Sol | July 9, 2026 | Not disclosed | 1M | Live | Deep reasoning, coding, and enterprise-grade workflows. |
| Claude Opus 4.7 | May 28, 2026 | Not disclosed | 1M | Live | Careful writing, document analysis, and long-form reasoning. |
Kimi K3 is Moonshot AI's next flagship model, described by Kie.ai as a 2.8T Mixture-of-Experts system with a 1M-token context window for long-horizon work.
Use Kimi K3 when you need a large context window for long codebases, research threads, multi-document analysis, or agent workflows that need to retain more state.
Kimi K2.7 Code is more code-specialized, while Kimi K3 is the broader flagship with much larger context and a stronger long-horizon positioning.
Kie.ai reports that Moonshot planned an open-source release for the weights after launch, but the article also notes that some launch details were still pending.
The article presents Kimi K3 as a flagship launch with several details still evolving, so treat pricing, availability, and some implementation specifics as launch-stage information rather than permanent guarantees.