GLM 5/5.1 — B300 vs GB200 NVL72
Head-to-head AI inference benchmark comparison of B300 (NVIDIA Blackwell) and GB200 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.
Near the low end of the 30–147 tok/s/user interactivity band, at 59 tok/s/user on GLM 5/5.1: B300 runs 2598 tok/s/chip at $0.24/M tokens, GB200 NVL72 runs 9553 at $0.05/M. GB200 NVL72 is 347% cheaper per token; GB200 NVL72 delivers 268% more tok/s/chip.
Setting 88 tok/s/user as the target on GLM 5/5.1, B300 produces 1755 tok/s/chip ($0.36 per million tokens) and GB200 NVL72 produces 6203 ($0.08). GB200 NVL72 is 330% cheaper per token; GB200 NVL72 delivers 253% more tok/s/chip.
At 118 tok/s/user interactivity on GLM 5/5.1, B300 delivers 1278 tok/s/chip at $0.49 per million tokens; GB200 NVL72 delivers 1574 tok/s/chip at $0.33. GB200 NVL72 is 50% cheaper per token; GB200 NVL72 delivers 23% more tok/s/chip at this point. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | B300:2597.9GB200 NVL72:9552.7 | B300:1754.8GB200 NVL72:6202.9 | B300:1277.6GB200 NVL72:1574.4 |
| Cost ($/M tok) | B300:$0.242GB200 NVL72:$0.054 | B300:$0.358GB200 NVL72:$0.083 | B300:$0.491GB200 NVL72:$0.328 |
| tok/s/MW | B300:1367336GB200 NVL72:5108387 | B300:923579GB200 NVL72:3317076 | B300:672435GB200 NVL72:841925 |
| Concurrency | B300:~20GB200 NVL72:~916 | B300:~9GB200 NVL72:~661 | B300:~5GB200 NVL72:~75 |
Inference Performance
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.