GLM-5 API Benchmarks: Latency, Throughput & Cost

GLM-5, released by Zhipu AI in 2026, is an advanced reasoning model designed for complex systems engineering and long-horizon tasks, featuring 744 billion parameters and a 200k+ context window. It employs a Mixture of Experts model and integrates DeepSeek Sparse Attention to reduce deployment costs while maintaining long-context capacity. Trained with a novel asynchronous RL infrastructure called "Slime," GLM-5 excels in reasoning, coding, and agentic tasks, rivaling top models like Claude Opus 4.5. Benchmarks indicate that DeepInfra offers the most cost-effective API for GLM-5, with the lowest blended and output token prices, making it optimal for high-volume production environments. In contrast, Fireworks provides the fastest response times, making it ideal for real-time applications. All providers support key features like function calling and JSON mode, with DeepInfra standing out for its cost efficiency and competitive latency.

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