Kimi K2.5/K2.6/K2.7-Code 1T — GB200 NVL72 vs MI355X
Head-to-head AI inference benchmark comparison of GB200 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.
Near the low end of the 24–113 tok/s/user interactivity band, at 46 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T: GB200 NVL72 runs 10065 tok/s/GPU at $0.06/M tokens, MI355X runs 726 at $0.56/M. GB200 NVL72 is 823% cheaper per token; GB200 NVL72 delivers 1286% more tok/s/GPU.
Setting 68 tok/s/user as the target on Kimi K2.5/K2.6/K2.7-Code 1T, GB200 NVL72 produces 5984 tok/s/GPU ($0.10 per million tokens) and MI355X produces 554 ($0.74). GB200 NVL72 is 625% cheaper per token; GB200 NVL72 delivers 980% more tok/s/GPU.
At 91 tok/s/user interactivity on Kimi K2.5/K2.6/K2.7-Code 1T, GB200 NVL72 delivers 600 tok/s/GPU at $1.05 per million tokens; MI355X delivers 419 tok/s/GPU at $0.98. MI355X is 7% cheaper per token; GB200 NVL72 delivers 43% more tok/s/GPU at this point. (Numbers reflect the default 1k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB200 NVL72:10064.8MI355X:726.2 | GB200 NVL72:5983.5MI355X:553.9 | GB200 NVL72:599.6MI355X:418.8 |
| Cost ($/M tok) | GB200 NVL72:$0.061MI355X:$0.565 | GB200 NVL72:$0.102MI355X:$0.741 | GB200 NVL72:$1.047MI355X:$0.982 |
| tok/s/MW | GB200 NVL72:4792752MI355X:274039 | GB200 NVL72:2849292MI355X:209003 | GB200 NVL72:285506MI355X:158047 |
| Concurrency | GB200 NVL72:~4301MI355X:~35 | GB200 NVL72:~2093MI355X:~17 | GB200 NVL72:~180MI355X:~9 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.