Descriptions:
TheAIGRID examines new benchmark data challenging the prevailing narrative that Chinese AI labs have caught up with Western frontier model developers. Drawing on three independently designed evaluation frameworks — ARC AGI 2, the Pencil Puzzle Benchmark, and Frontier Math — the video presents consistent evidence that top Chinese models including Kimi K2, Minimax M2.5, GLM5, and DeepSeek 3.2 currently perform at levels comparable to Western models released roughly eight months earlier.
ARC AGI 2, developed by the ARC Prize, specifically tests novel reasoning that cannot be prepared for through data scaling or distillation from other models. On the Pencil Puzzle Benchmark — which evaluates pure multi-step logical constraint reasoning with no prior knowledge required — GPT-5.2 scores 56%, Claude Opus 4.6 scores 36.7%, and Gemini 3.1 Pro scores 33%, while Chinese models cluster between 0.7% and 6%. Frontier Math, comprising previously unpublished research-level problems across number theory, algebraic geometry, and category theory, shows an identical pattern, with Chinese models scoring around 2%–3% against substantially higher Western results.
The video also highlights a notable benchmark integrity issue: Kimi K2 self-reported a 50% score on Humanity’s Last Exam, but Artificial Analysis independently measured the model at 29.4% — a 21-point inflation attributed partly to tool-use score boosting. Taken together, the analysis argues that on evaluations specifically engineered to resist gaming and data contamination, a persistent, multi-generational capability gap between US and Chinese frontier models remains clearly visible.
📺 Source: TheAIGRID · Published April 06, 2026
🏷️ Format: Benchmark Test
