gpt-oss 120B — GB200 NVL72 vs MI355X
Head-to-head AI inference benchmark comparison of GB200 NVL72 (NVIDIA Blackwell) and MI355X (AMD CDNA 4) 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.
Near the low end of the 63–304 tok/s/user interactivity band, at 123 tok/s/user on gpt-oss 120B: GB200 NVL72 runs 18583 tok/s/GPU at $0.03/M tokens, MI355X runs 7338 at $0.06/M. GB200 NVL72 is 69% cheaper per token; GB200 NVL72 delivers 153% more tok/s/GPU.
Setting 183 tok/s/user as the target on gpt-oss 120B, GB200 NVL72 produces 13317 tok/s/GPU ($0.05 per million tokens) and MI355X produces 2493 ($0.17). GB200 NVL72 is 246% cheaper per token; GB200 NVL72 delivers 434% more tok/s/GPU.
At 244 tok/s/user interactivity on gpt-oss 120B, GB200 NVL72 delivers 6601 tok/s/GPU at $0.09 per million tokens; MI355X delivers 1252 tok/s/GPU at $0.34. GB200 NVL72 is 269% cheaper per token; GB200 NVL72 delivers 427% more tok/s/GPU at this point. (Numbers reflect the default 1k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB200 NVL72:18583.2MI355X:7338.3 | GB200 NVL72:13317.5MI355X:2493.0 | GB200 NVL72:6600.6MI355X:1252.0 |
| Cost ($/M tok) | GB200 NVL72:$0.033MI355X:$0.056 | GB200 NVL72:$0.048MI355X:$0.165 | GB200 NVL72:$0.091MI355X:$0.337 |
| tok/s/MW | GB200 NVL72:8849142MI355X:2769176 | GB200 NVL72:6341659MI355X:940755 | GB200 NVL72:3143146MI355X:472436 |
| Concurrency | GB200 NVL72:~406MI355X:~31 | GB200 NVL72:~1272MI355X:~9 | GB200 NVL72:~71MI355X:~27 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.