Qwen 3.5 397B-A17B — GB300 NVL72 vs MI300X
Head-to-head AI inference benchmark comparison of GB300 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.
GB300 NVL72 hits 17213 tok/s/chip for $0.04 per million tokens at 169 tok/s/user on Qwen 3.5 397B-A17B. No MI300X data at this operating point.
GB300 NVL72: 8536 tok/s/chip, $0.08 per million tokens at 315 tok/s/user on Qwen 3.5 397B-A17B. MI300X is unmeasured here.
At 461 tok/s/user on Qwen 3.5 397B-A17B, GB300 NVL72 delivers 2714 tok/s/chip at $0.23 per million tokens; MI300X hasn't been benchmarked at this target. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | GB300 NVL72:17212.7MI300X:— | GB300 NVL72:8535.7MI300X:— | GB300 NVL72:2714.3MI300X:— |
| Cost ($/M tok) | GB300 NVL72:$0.037MI300X:— | GB300 NVL72:$0.076MI300X:— | GB300 NVL72:$0.235MI300X:— |
| tok/s/MW | GB300 NVL72:8119210MI300X:— | GB300 NVL72:4026278MI300X:— | GB300 NVL72:1280341MI300X:— |
| Concurrency | GB300 NVL72:~417MI300X:— | GB300 NVL72:~120MI300X:— | GB300 NVL72:~16MI300X:— |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.