Tencent's Hy4 model outperformed GLM-5.3 and Kimi K3 in blind tests, with its lowest inference cost 82% lower than the latter two models.

Beating AI News: Tencent has published results from a blind engineering test for its Hy4 model. 163 internal Tencent experts evaluated different models across 203 real-world engineering tasks, with Hy4 posting an average score of 2.99/4, outperforming GLM-5.3 (2.92/4) and Kimi K3 (2.94/4). Specifically, Hy4’s win rate against GLM-5.3 stands at 46.8%, with a 12.8% draw rate and 40.4% loss rate; versus Kimi K3, its win rate is 51.2%, draw rate 7.9%, loss rate 40.9%. The test tasks are actual internal Tencent engineering projects, not traditional fixed benchmarks. However, Hy4 does not lead across all public benchmarks. Per Tencent’s released evaluation data, it has mixed performance against models like GLM-5.3 and Kimi K3, and still lags behind GLM-5.3 in code and cybersecurity tests including DeepSWE and CyberGym. Price is Hy4’s most prominent advantage: it costs 6 yuan per million input tokens and 18 yuan per million output tokens—25% cheaper than GLM-5.3 for input and roughly 36% cheaper for output; compared to Kimi K3, it is 70% cheaper for input and 82% cheaper for output. Its cache hit cost is just 0.3 yuan, 85% lower than GLM-5.3 and Kimi K3’s 2 yuan.