GLM-5.3 API Providers: Speed, Latency & Cost

DeepInfra’s review describes GLM-5.3, Z AI’s August 2026 open-weights flagship model for coding, agentic reasoning, and cybersecurity, as a 753-billion-parameter mixture-of-experts model with 40 billion active parameters, a one-million-token context window, and an always-on reasoning engine. It reports an Artificial Analysis Intelligence Index score of 45 versus a comparable median of 18, alongside major benchmark gains over GLM-5.2, including Terminal-Bench 3.0 and CyberGym, but notes that the model is verbose and has relatively modest native output speed of 63.4 tokens per second. The native Z AI API is presented as the baseline, with a 3.43-second time to first token and blended pricing of $0.90 per million tokens, while the comparison of 14 providers identifies DeepInfra as the lowest-cost option at $0.72 per million blended tokens, Inco (FAST) as the throughput leader at 409.5 tokens per second, Databricks as the lowest-latency third-party provider at 9.38 seconds, and Fireworks as a high-throughput alternative for large-context workloads. The review advises teams to choose providers according to cost, output speed, latency, context requirements, capacity guarantees, and differing API behavior, including the removal of support for disabling GLM-5.3’s reasoning process.

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