Kimi K2.5/K2.6/K2.7-Code 1T — GB300 NVL72 vs MI355X
Head-to-head AI inference benchmark comparison of GB300 NVL72 (NVIDIA Blackwell) and MI355X (AMD CDNA 4) on Kimi K2.5/K2.6/K2.7-Code 1T. 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.
GB300 NVL72 posts 7015 tok/s/GPU for $0.11 per million tokens at 46 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T; MI355X posts 726 tok/s/GPU for $0.56. GB300 NVL72 is 431% cheaper per token; GB300 NVL72 delivers 866% more tok/s/GPU.
Throughput at 68 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T: GB300 NVL72 hits 1181 tok/s/GPU, MI355X hits 554. Per-million costs land at $0.78 and $0.74 respectively. MI355X is 5% cheaper per token; GB300 NVL72 delivers 113% more tok/s/GPU.
GB300 NVL72 / MI355X on Kimi K2.5/K2.6/K2.7-Code 1T at 91 tok/s/user: 420 / 419 tok/s/GPU, $1.72 / $0.98 per million tokens. MI355X is 75% cheaper per token; throughput per GPU is essentially tied. (Numbers reflect the default 1k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB300 NVL72:7015.2MI355X:726.2 | GB300 NVL72:1181.2MI355X:553.9 | GB300 NVL72:419.6MI355X:418.8 |
| Cost ($/M tok) | GB300 NVL72:$0.106MI355X:$0.565 | GB300 NVL72:$0.776MI355X:$0.741 | GB300 NVL72:$1.722MI355X:$0.982 |
| tok/s/MW | GB300 NVL72:3340569MI355X:274039 | GB300 NVL72:562471MI355X:209003 | GB300 NVL72:199818MI355X:158047 |
| Concurrency | GB300 NVL72:~1691MI355X:~35 | GB300 NVL72:~312MI355X:~17 | GB300 NVL72:~79MI355X:~9 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.