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 71–317 tok/s/user interactivity band, at 132 tok/s/user on gpt-oss 120B: GB200 NVL72 runs 18334 tok/s/chip at $0.03/M tokens, MI355X runs 7454 at $0.06/M. GB200 NVL72 is 99% cheaper per token; GB200 NVL72 delivers 146% more tok/s/chip.
Setting 194 tok/s/user as the target on gpt-oss 120B, GB200 NVL72 produces 11222 tok/s/chip ($0.05 per million tokens) and MI355X produces 3059 ($0.14). GB200 NVL72 is 190% cheaper per token; GB200 NVL72 delivers 267% more tok/s/chip.
At 256 tok/s/user interactivity on gpt-oss 120B, GB200 NVL72 delivers 5771 tok/s/chip at $0.09 per million tokens; MI355X delivers 1547 tok/s/chip at $0.26. GB200 NVL72 is 190% cheaper per token; GB200 NVL72 delivers 273% more tok/s/chip at this point. (Numbers reflect the default 1k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | GB200 NVL72:18334.5MI355X:7454.3 | GB200 NVL72:11222.5MI355X:3058.7 | GB200 NVL72:5771.4MI355X:1546.6 |
| Cost ($/M tok) | GB200 NVL72:$0.028MI355X:$0.056 | GB200 NVL72:$0.047MI355X:$0.136 | GB200 NVL72:$0.090MI355X:$0.262 |
| tok/s/MW | GB200 NVL72:9804520MI355X:3566649 | GB200 NVL72:6001325MI355X:1463472 | GB200 NVL72:3086331MI355X:739983 |
| Concurrency | GB200 NVL72:~1178MI355X:~29 | GB200 NVL72:~436MI355X:~8 | GB200 NVL72:~60MI355X:~7 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.