GLM 5.2 · Performance per Dollar

GLM 5.2 — B300 vs H200 Performance per Dollar

Cost per million tokens of B300 (NVIDIA Blackwell) versus H200 (NVIDIA Hopper) on GLM 5.2. Owning-hyperscaler TCO normalized by output tokens — performance per dollar across LLM workloads. Pick the more cost-efficient SKU at every target interactivity level. Use the chart controls below to switch sequences, precisions, and metrics — same interactions as the main inference chart.

GPU pricing (owning hyperscaler): B300 $2.34/GPU/hr · H200 $1.41/GPU/hr. Source: SemiAnalysis Market August 2025 Pricing Surveys & AI Cloud TCO Model.

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GLM 5.2: B300 versus H200 cost per million tokens at matched interactivity levels
B300 versus H200 cost per million tokens for this comparison's canonical default workload. Lower cost indicates better performance per dollar.
No interpolated cost-per-token data available for the default model on this GPU pair. Use the chart controls below to select a model and precision with benchmark data for both GPUs.

Inference Performance

Inference performance metrics across different models, hardware configurations, and serving parameters.

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