Qwen 3.5 397B-A17B — GB200 NVL72 vs MI300X
Head-to-head AI inference benchmark comparison of GB200 NVL72 (NVIDIA Blackwell) and MI300X (AMD CDNA 3) 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.
Near the low end of the 34–71 tok/s/user interactivity band, at 43 tok/s/user on Qwen 3.5 397B-A17B: GB200 NVL72 runs 4910 tok/s/GPU at $0.12/M tokens, MI300X runs 346 at $0.89/M. GB200 NVL72 is 629% cheaper per token; GB200 NVL72 delivers 1320% more tok/s/GPU.
Setting 53 tok/s/user as the target on Qwen 3.5 397B-A17B, GB200 NVL72 produces 1977 tok/s/GPU ($0.32 per million tokens) and MI300X produces 190 ($1.63). GB200 NVL72 is 412% cheaper per token; GB200 NVL72 delivers 943% more tok/s/GPU.
At 62 tok/s/user interactivity on Qwen 3.5 397B-A17B, GB200 NVL72 delivers 1328 tok/s/GPU at $0.47 per million tokens; MI300X delivers 123 tok/s/GPU at $2.52. GB200 NVL72 is 432% cheaper per token; GB200 NVL72 delivers 982% more tok/s/GPU at this point. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB200 NVL72:4910.3MI300X:345.8 | GB200 NVL72:1976.7MI300X:189.5 | GB200 NVL72:1327.7MI300X:122.7 |
| Cost ($/M tok) | GB200 NVL72:$0.123MI300X:$0.893 | GB200 NVL72:$0.319MI300X:$1.633 | GB200 NVL72:$0.473MI300X:$2.517 |
| tok/s/MW | GB200 NVL72:2338245MI300X:193162 | GB200 NVL72:941273MI300X:105886 | GB200 NVL72:632228MI300X:68573 |
| Concurrency | GB200 NVL72:~1438MI300X:~34 | GB200 NVL72:~416MI300X:~15 | GB200 NVL72:~146MI300X:~8 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.