gpt-oss 120B — H200 vs MI325X
Head-to-head AI inference benchmark comparison of H200 (NVIDIA Hopper) and MI325X (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.
H200 posts 4455 tok/s/chip for $0.08 per million tokens at 62 tok/s/user on gpt-oss 120B; MI325X posts 2474 tok/s/chip for $0.13. H200 is 64% cheaper per token; H200 delivers 80% more tok/s/chip.
Throughput at 79 tok/s/user on gpt-oss 120B: H200 hits 3931 tok/s/chip, MI325X hits 1318. Per-million costs land at $0.09 and $0.23 respectively. H200 is 172% cheaper per token; H200 delivers 198% more tok/s/chip.
H200 / MI325X on gpt-oss 120B at 96 tok/s/user: 3454 / 961 tok/s/chip, $0.10 / $0.32 per million tokens. H200 is 228% cheaper per token; H200 delivers 259% more tok/s/chip. (Numbers reflect the default 1k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | H200:4455.2MI325X:2474.5 | H200:3930.6MI325X:1317.8 | H200:3453.8MI325X:960.8 |
| Cost ($/M tok) | H200:$0.076MI325X:$0.125 | H200:$0.086MI325X:$0.234 | H200:$0.097MI325X:$0.319 |
| tok/s/MW | H200:3251990MI325X:1464195 | H200:2869016MI325X:779773 | H200:2521013MI325X:568530 |
| Concurrency | H200:~64MI325X:~64 | H200:~64MI325X:~19 | H200:~64MI325X:~21 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.