AI Competition: Moonshot AI Narrows Gap With US Rivals

Moonshot AI has released Kimi K3.1 Pro, a reasoning model that has rapidly climbed to fourth place on the Artificial Analysis Intelligence Index. The new release scores 55 points, placing it just three points behind the leading proprietary systems. This performance marks a significant milestone for the Chinese developer in the global artificial intelligence race.

The model represents a substantial upgrade over its predecessor, Kimi K3, with an 11 point jump in overall intelligence scores. Only three models currently rank higher: Claude Opus 5.5 with 58 points, followed by Claude Sonnet 5.5 and Muse Wonder Full at 56 points each. If Moonshot releases the model weights by November 4, 2026, as planned, Kimi K3.1 Pro would become the highest scoring open weights model available. This move would shrink the performance gap between open and proprietary models from 12 points to just three.

Performance gains are most evident in agentic tasks and coding. On the GDPval-AA benchmark, the model reaches 1,846 Elo, surpassing its predecessor by 312 points. It trails only Claude Opus 5.5 and Muse Wonder Full on this specific test. In Terminal-Bench 4.0, Moonshot reports a score of 65.7 percent, which exceeds GPT-6 Astra and closely follows Claude Opus 5.5. The previous version of the model managed only 13 percent on the same evaluation, highlighting the dramatic improvement in execution capabilities.

The company also notes a sharp decline in hallucination rates. Internal testing on the Kimi Hallu Bench Hard shows claim level hallucinations dropped from 23.4 percent to 8.3 percent. While GPT-6 Astra maintains an edge with a 5.5 percent rate, Moonshot emphasizes that this benchmark serves as a stress test rather than a measure of general error rates. Financial modeling and research scores also improved, with the model topping all tested competitors on general office tasks according to internal data.

Kimi K3.1 Pro maintains the same architectural size as its predecessor, featuring 2.8 trillion total parameters and 104 billion active ones. The model supports a context window of one million tokens and processes both text and images. API prices have decreased by 33 percent, with input costs now at $2 per million tokens and output at $10. A faster variant, K3.1 Pro Highspeed, is also available and runs two to three times quicker. Both versions are accessible via Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.

In the realm of 3D modeling, the model integrates directly with game engines such as Unity, Unreal Engine, and Godot. It achieves a 92.7 percent score on the BenchCAD benchmark when using tools, closely competing with top rivals. Moonshot also launched a feature called 3D Make on Kimi.com, allowing users to preview, edit, and export 3D models. The company states the model excels at parametric modeling for mechanical parts and architectural designs, capable of writing and running scripts for Blender and CAD software without additional connectors.

Moonshot has implemented deliberate limits on the model's offensive cybersecurity capabilities for the upcoming open weights release. Cyber related data was removed from the training corpus to manage this feature. On an internal test for reproducing disclosed vulnerabilities, the cleaned model solves 81.0 percent of tasks, down from 90.5 percent in the uncleaned version. The company aims to balance offensive potential with defensive utility, noting that open models should not push the absolute frontier of cyber capabilities while still supporting tasks like auditing legacy systems.