I've been using both K2.6 and K2.7 for software engineering over the past few weeks, primarily through OpenCode.
K2.7 is a noticeable improvement for coding. It follows complex instructions better, produces cleaner code, and feels more reliable during agentic development workflows.
One area where it really impressed me was GitHub pull request code reviews. I tested it on a core TypeScript project, and the review quality was genuinely strong. It caught meaningful issues, provided useful suggestions, and understood the broader context of the changes instead of focusing only on superficial style comments.
The OpenCode integration is also excellent. The overall experience feels smooth and natural, making it easy to use K2 as part of a real development workflow.
When starting an entirely new project from scratch, I still think Claude Opus 4.8 has an advantage. However, for an open-source model, K2.7 exceeded my expectations by a wide margin. It's one of the most capable open models I've used, and I'll definitely keep using it.
Kimi K3.1 Pro is Moonshot’s new model, the first in the K3.1 series. It’s a post-trained update to K3, with substantially more post-training compute and a 1M-token context.
For context, K3 is Moonshot’s 3T-class model. Moonshot says K3.1 Pro is its most capable open-weight model at that scale, with full weights due by November 4, 2026.
What changed in this update:
More post-training compute, and RL infrastructure optimized for joint RL across hundreds of domains
Better coding: it works with Unity, Unreal Engine and Godot, and builds front-end pages and Three.js scenes, with stronger long-horizon coding
3D modeling: it writes and runs scripts for tools like Blender and CAD software, and Moonshot launched 3D Make on kimi.ai and the Kimi app, with export for 3D printing
Finance: aimed at end-to-end workflows like modeling, research and business-operation simulation
Better factual accuracy and agentic performance
Kimi K3.1 Pro Highspeed, which Moonshot says runs 2-3x faster
Some numbers:
Terminal-Bench 4.0: 65.7%, against GPT-6 Astra at 58.2% and Claude Opus 5.5 at 66.4%
Kimi Code Bench 3.0 Long-horizon: 61.2%, up from K3’s 55.95%
OfficeQA Pro v2: 64.4%
Claim-level hallucination on a hard stress test, with tools: 8.3%, down from K3’s 23.4%
It’s live now on kimi.ai, the Kimi apps, Kimi Work, Kimi Code and the Kimi API (kimi-k3.1-pro and kimi-k3.1-pro-highspeed). Kimi Business admins can enable it, and it’s off by default.
Good fit if you build with coding agents, 3D or CAD workflows, or financial analysis and want a model with a long context.