GLM 5/5.1 · GPU comparison

GLM 5/5.1 — B200 vs GB300 NVL72

Head-to-head AI inference benchmark comparison of B200 (NVIDIA Blackwell) and GB300 NVL72 (NVIDIA Blackwell) on GLM 5/5.1. Latency, throughput, and cost across LLM workloads. Use the chart controls below to switch sequences, precisions, and metrics — same interactions as the main inference chart.

B200: 607 tok/s/GPU, $0.90 per million tokens at 36 tok/s/user on GLM 5/5.1. GB300 NVL72 is unmeasured here.

At 60 tok/s/user on GLM 5/5.1, B200 delivers 349 tok/s/GPU at $1.54 per million tokens; GB300 NVL72 hasn't been benchmarked at this target.

B200 hits 197 tok/s/GPU for $2.77 per million tokens at 84 tok/s/user on GLM 5/5.1. No GB300 NVL72 data at this operating point. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)

View performance-per-dollar view →

Interpolated from real benchmark data. Edit target interactivity values below to compare at different operating points.
Metric
Interactivity (tok/s/user)
Interactivity (tok/s/user)
Interactivity (tok/s/user)
Throughput (tok/s/gpu)
B200:607.3GB300 NVL72:
B200:349.5GB300 NVL72:
B200:196.6GB300 NVL72:
Cost ($/M tok)
B200:$0.899GB300 NVL72:
B200:$1.542GB300 NVL72:
B200:$2.773GB300 NVL72:
tok/s/MW
B200:279842GB300 NVL72:
B200:161045GB300 NVL72:
B200:90610GB300 NVL72:
Concurrency
B200:~80GB300 NVL72:
B200:~23GB300 NVL72:
B200:~10GB300 NVL72:

Inference Performance

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