GLM-4.7-Flash API Benchmarks: Latency, Throughput & Cost

GLM-4.7-Flash, developed by Z.AI and released in January 2026, is an open-source reasoning model based on a Mixture-of-Experts Transformer architecture with 30 billion parameters, designed for efficient performance in agentic workflows and multi-step reasoning tasks. This model demonstrates state-of-the-art performance among open-source models in its size category, supporting up to 200K context tokens and enabling deployment on consumer hardware. The analysis of various inference providers reveals that DeepInfra offers the best overall value for GLM-4.7-Flash deployment, providing the lowest latency at 0.75 seconds, the cheapest cost at $0.14 per million tokens, and full support for JSON Mode and Function Calling, making it particularly suitable for real-time applications. Amazon Bedrock is noted for its superior throughput, making it ideal for high-volume batch processing despite its lack of JSON Mode support. In contrast, Novita is not recommended for production use due to high latency issues, although it shares feature support with DeepInfra.

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