Moonshot AI Model Closes Gap

A new model from Moonshot AI has suddenly landed at the top of the Artificial Analysis Intelligence Index.

Released on October 23, 2026, Kimi K3.1 Pro scores 55 points, an 11-point jump over its predecessor, K3. That gain places the model in fourth place on the index. It is now just 3 points behind the top proprietary models. Claude Opus 5.5 leads with 58 points, while Claude Sonnet 5.5 and Muse Wonder Full both hold 56 points.

The model is a post-trained version of Kimi K3. Moonshot AI says it required significantly more post-training compute to build. It maintains the same architecture as its predecessor, with 2.8 trillion total parameters and 104 billion active ones. Its context window spans one million tokens and it processes both text and images. Artificial Analysis places it at the top of the Pareto frontier, meaning no model with a comparable parameter count scores higher on the Intelligence Index. Alongside K3.1 Pro, Moonshot AI is shipping a variant called K3.1 Pro Highspeed. The company says it runs two to three times faster. Both models are available now through Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.

The company's plans to release model weights by November 4, 2026, would make K3.1 Pro the highest-scoring open-weights model available. That would shrink the gap between open and proprietary models from 12 points to just 3, assuming nothing else changes by then. Token prices are also dropping by 33 percent. Input costs $2 per million tokens, down from $3. Output costs $10, down from $15. Cache hits cost $0.20, down from $0.30. Each Intelligence Index task costs $1.98, nearly identical to K3 at $2.00, because the model generates 14 percent more output tokens. Moonshot AI says the model is strongest at parametric modeling of mechanical parts, architectural models, and configurable products. It can write and run scripts for Blender and CAD software without MCP connectors. The company has launched a feature called 3D Make on Kimi.com that allows users to preview, edit, and export 3D models.

The company says no open-weights model should push the absolute frontier of offensive cyber capabilities. At the same time, it wants to gradually raise what open models can do, because they also serve defensive purposes such as auditing legacy systems. Anthropic previously showed that even GLM-5.3, which scores 45 on the AA Index, can write exploits at near-Claude Mythos levels. The release raises a question about whether open-weights models can match proprietary capabilities while deliberately limiting offensive cyber abilities.