GLM-5.2 tops BridgeBench reasoning benchmark

Chinese open-source models are closing the gap with proprietary giants faster than ever, proving that massive reinforcement learning frameworks and MoE architectures can deliver frontier-level reasoning at scale.

• –GLM-5.2's victory over Claude Fable 5 on BridgeBench underscores the intense competition in reasoning benchmarks.
• –The success of this model highlights the strength of Zhipu AI's reinforcement learning optimization and deep attention kernels.
• –As open-source models rival top-tier proprietary systems in reasoning benchmarks, developers gain highly capable, cost-effective alternatives for complex workflows.