GLM-5.2 (max) API Provider Benchmarking & Price Analysis
- Source
- artificialanalysis.ai
- Author
- ArtificialAnlys
- Date
Context
Choosing a host for the same model involves several different measures of performance. Artificial Analysis's GLM-5.2 provider dashboard separates generation speed from the wait for an answer. For a , that wait includes time spent thinking before answer text arrives.
Its default blended price also assumes a particular workload: seven parts cached input, two parts fresh input, and one part output. Cache-writing and storage charges are separate. A provider's headline price therefore becomes meaningful only when those proportions resemble the application's actual usage.
- reasoning model — A model trained to think — generating extended internal reasoning before answering — trading time and tokens for accuracy on hard problems.
- token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
“For output speed, the top providers are Makora (NVFP4) (303.8 t/s), Baseten (FAST) (195.5 t/s), and CoreWeave (191.2 t/s). Speed varies significantly across providers, with a 831% difference between the fastest and slowest.”
ArtificialAnlys
“For latency, Makora (NVFP4) (7.50s), Nebius (FP4) (11.65s), and Baseten (FAST) (11.90s) offer the lowest time to first answer token.”
ArtificialAnlys
“For pricing, DeepInfra (FP4) (0.49), CoreWeave (0.49), and GMI (FP8) (0.59) offer the lowest blended prices per 1M tokens. Prices vary up to 5.2x across providers.”
ArtificialAnlys
“Composite measure of how much of a model's accuracy a given provider endpoint preserves, from re-running BFCL v4-500, HLE-250 and AA-LCR-25 against that endpoint. Where a self-hosted reference endpoint exists, scores are expressed as a percentage of that reference (100 = matches reference)”
ArtificialAnlys
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