gpt-oss 120B — GB200 NVL72 vs MI355X Performance per Dollar
Cost per million tokens of GB200 NVL72 (NVIDIA Blackwell) versus MI355X (AMD CDNA 4) on gpt-oss 120B. Owning-hyperscaler TCO normalized by output tokens — performance per dollar across LLM workloads. Pick the more cost-efficient SKU at every target interactivity level. Use the chart controls below to switch sequences, precisions, and metrics — same interactions as the main inference chart.
GB200 NVL72: $0.03 per million tokens. MI355X: $0.06. Both at 132 tok/s/user on gpt-oss 120B, with GB200 NVL72 99% cheaper.
Around the middle of the 71–317 tok/s/user interactivity band — at 194 tok/s/user — GB200 NVL72 runs $0.05 per million tokens on gpt-oss 120B while MI355X runs $0.14. GB200 NVL72 is the cheaper choice by 190%.
On gpt-oss 120B at 256 tok/s/user, the per-million math comes out to $0.09 for GB200 NVL72 and $0.26 for MI355X; GB200 NVL72 delivers 190% more output per dollar. (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.)
Chip pricing (owning hyperscaler): GB200 NVL72 $1.86/chip/hr · MI355X $1.50/chip/hr. Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model.
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Dollar per Million Tokens | GB200 NVL72:$0.028MI355X:$0.056 | GB200 NVL72:$0.047MI355X:$0.136 | GB200 NVL72:$0.090MI355X:$0.262 |
| 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.