Top 6 GLM-5.2 Max API Providers Compared
Blog post from Deepinfra
DeepInfra's analysis of the GLM-5.2 (max) Mixture-of-Experts model, with its substantial 753 billion parameters and a 1 million token context window, highlights the model's demanding infrastructure requirements for optimal deployment. The guide evaluates top API providers based on throughput, latency, pricing, and quantization architecture, naming DeepInfra as the overall recommended provider due to its use of FP4 quantization, which strikes a balance between cost-efficiency and performance. Fireworks emerges as the leader in raw speed with a throughput of 314.9 tokens per second, while GMI offers the most cost-effective solution at $0.72 per 1 million tokens using FP8 quantization. The report underscores the importance of selecting providers capable of handling the model's extensive reasoning capabilities and context window, considering factors like throughput, latency, and cost to ensure efficient deployment of GLM-5.2 (max).
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Coding Assistant | 1 | 168 | 47 | 31 | -90% |
| LLM | 1 | 804 | 153 | 68 | -87% |
| Real-time | 1 | 568 | 168 | 74 | -91% |
| Vector Search | 1 | 260 | 55 | 31 | -89% |
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