Qwen 3.5 397B-A17B — B200 vs GB200 NVL72
Head-to-head AI inference benchmark comparison of B200 (NVIDIA Blackwell) and GB200 NVL72 (NVIDIA Blackwell) on Qwen 3.5 397B-A17B. 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 posts 4510 tok/s/GPU for $0.12 per million tokens at 95 tok/s/user on Qwen 3.5 397B-A17B; GB200 NVL72 posts 9153 tok/s/GPU for $0.07. GB200 NVL72 is 79% cheaper per token; GB200 NVL72 delivers 103% more tok/s/GPU.
Throughput at 154 tok/s/user on Qwen 3.5 397B-A17B: B200 hits 3096 tok/s/GPU, GB200 NVL72 hits 3392. Per-million costs land at $0.17 and $0.18 respectively. B200 is 3% cheaper per token; GB200 NVL72 delivers 10% more tok/s/GPU.
B200 / GB200 NVL72 on Qwen 3.5 397B-A17B at 214 tok/s/user: 2204 / 1614 tok/s/GPU, $0.24 / $0.38 per million tokens. B200 is 58% cheaper per token; B200 delivers 37% more tok/s/GPU. (Numbers reflect the default 8k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | B200:4510.1GB200 NVL72:9152.8 | B200:3095.8GB200 NVL72:3391.9 | B200:2204.2GB200 NVL72:1613.7 |
| Cost ($/M tok) | B200:$0.120GB200 NVL72:$0.067 | B200:$0.173GB200 NVL72:$0.179 | B200:$0.241GB200 NVL72:$0.380 |
| tok/s/MW | B200:2637459GB200 NVL72:4894560 | B200:1810430GB200 NVL72:1813845 | B200:1288995GB200 NVL72:862951 |
| Concurrency | B200:~23GB200 NVL72:~678 | B200:~10GB200 NVL72:~54 | B200:~5GB200 NVL72:~11 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.