gpt-oss 120B — GB200 NVL72 vs MI300X
Head-to-head AI inference benchmark comparison of GB200 NVL72 (NVIDIA Blackwell) and MI300X (AMD CDNA 3) on gpt-oss 120B. 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.
At 85 tok/s/user interactivity on gpt-oss 120B, GB200 NVL72 delivers 40563 tok/s/chip at $0.01 per million tokens; MI300X delivers 2267 tok/s/chip at $0.11. GB200 NVL72 is 799% cheaper per token; GB200 NVL72 delivers 1689% more tok/s/chip at this point.
GB200 NVL72 posts 18202 tok/s/chip for $0.03 per million tokens at 140 tok/s/user on gpt-oss 120B; MI300X posts 1014 tok/s/chip for $0.26. GB200 NVL72 is 811% cheaper per token; GB200 NVL72 delivers 1695% more tok/s/chip.
Throughput at 194 tok/s/user on gpt-oss 120B: GB200 NVL72 hits 11222 tok/s/chip, MI300X hits 383. Per-million costs land at $0.05 and $0.69 respectively. GB200 NVL72 is 1369% cheaper per token; GB200 NVL72 delivers 2830% more tok/s/chip. (Numbers reflect the default 1k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | GB200 NVL72:40563.4MI300X:2267.0 | GB200 NVL72:18201.5MI300X:1014.2 | GB200 NVL72:11222.5MI300X:383.0 |
| Cost ($/M tok) | GB200 NVL72:$0.013MI300X:$0.115 | GB200 NVL72:$0.028MI300X:$0.259 | GB200 NVL72:$0.047MI300X:$0.690 |
| tok/s/MW | GB200 NVL72:21691653MI300X:1630947 | GB200 NVL72:9733442MI300X:729619 | GB200 NVL72:6001325MI300X:275575 |
| Concurrency | GB200 NVL72:~2217MI300X:~27 | GB200 NVL72:~2076MI300X:~7 | GB200 NVL72:~436MI300X:~8 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.