Head-to-head AI inference benchmark comparison of B200 (NVIDIA Blackwell) and GB200 NVL72 (NVIDIA Blackwell) on GLM 5.3 744B. Latency, throughput, and cost across LLM workloads. Use the chart controls below to switch sequences, precisions, and metrics β same interactions as the main inference chart.
AgentX replays real coding-agent sessions rather than fixed-length prompts, so context grows turn over turn and most of each request is served from cache instead of being recomputed. That turns the comparison into a systems question: KV transfer between nodes, prefix-aware routing, and cache capacity all move the curve alongside raw chip throughput. Fixed-sequence workloads stay the clean baseline for kernel and silicon performance, so the two scenarios answer different questions about the same hardware. Learn more about AgentX β
Throughput at 137 tok/s/user on GLM 5.3 744B: B200 hits 12898 tok/s/chip, GB200 NVL72 hits 14105. Per-million costs land at $0.04 and $0.04 respectively. GB200 NVL72 is 2% cheaper per token; GB200 NVL72 delivers 9% more tok/s/chip.
B200 / GB200 NVL72 on GLM 5.3 744B at 192 tok/s/user: 10200 / 8833 tok/s/chip, $0.05 / $0.06 per million tokens. B200 is 24% cheaper per token; B200 delivers 15% more tok/s/chip.
Toward the upper edge of the 81β303 tok/s/user interactivity band, at 248 tok/s/user on GLM 5.3 744B: B200 runs 7034 tok/s/chip at $0.07/M tokens, GB200 NVL72 runs 4737 at $0.11/M. B200 is 60% cheaper per token; B200 delivers 48% more tok/s/chip. (Numbers reflect the default agentic-traces Β· fp4 selection for this URL β table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | B200:12898.2GB200 NVL72:14104.6 | B200:10199.6GB200 NVL72:8833.2 | B200:7033.9GB200 NVL72:4737.1 |
| Cost ($/M tok) | B200:$0.037GB200 NVL72:$0.037 | B200:$0.047GB200 NVL72:$0.058 | B200:$0.068GB200 NVL72:$0.109 |
| tok/s/MW | B200:7542808GB200 NVL72:7542557 | B200:5964658GB200 NVL72:4723651 | B200:4113385GB200 NVL72:2533187 |
| Concurrency | B200:~10GB200 NVL72:~74 | B200:~6GB200 NVL72:~45 | B200:~3GB200 NVL72:~5 |
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.
No measurements to plot for this selection. Review the benchmark controls above or adjust quick filters.
