Head-to-head AI inference benchmark comparison of GB200 NVL72 (NVIDIA Blackwell) and GB300 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
GB200 NVL72 / GB300 NVL72 on GLM 5.3 744B at 144 tok/s/user: 13626 / 16726 tok/s/chip, $0.04 / $0.04 per million tokens. GB200 NVL72 is 1% cheaper per token; GB300 NVL72 delivers 23% more tok/s/chip.
Around the middle of the 92β303 tok/s/user interactivity band, at 198 tok/s/user on GLM 5.3 744B: GB200 NVL72 runs 7798 tok/s/chip at $0.07/M tokens, GB300 NVL72 runs 10928 at $0.06/M. GB300 NVL72 is 13% cheaper per token; GB300 NVL72 delivers 40% more tok/s/chip.
Setting 251 tok/s/user as the target on GLM 5.3 744B, GB200 NVL72 produces 4610 tok/s/chip ($0.11 per million tokens) and GB300 NVL72 produces 6118 ($0.10). GB300 NVL72 is 7% cheaper per token; GB300 NVL72 delivers 33% more tok/s/chip. (Numbers reflect the default agentic-traces Β· fp4 selection for this URL β table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | GB200 NVL72:13625.7GB300 NVL72:16726.1 | GB200 NVL72:7797.8GB300 NVL72:10927.7 | GB200 NVL72:4610.4GB300 NVL72:6118.4 |
| Cost ($/M tok) | GB200 NVL72:$0.038GB300 NVL72:$0.038 | GB200 NVL72:$0.066GB300 NVL72:$0.059 | GB200 NVL72:$0.112GB300 NVL72:$0.105 |
| tok/s/MW | GB200 NVL72:7286479GB300 NVL72:7889678 | GB200 NVL72:4169944GB300 NVL72:5154578 | GB200 NVL72:2465450GB300 NVL72:2886031 |
| Concurrency | GB200 NVL72:~68GB300 NVL72:~53 | GB200 NVL72:~10GB300 NVL72:~21 | GB200 NVL72:~5GB300 NVL72:~13 |
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.
