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 24–128 tok/s/user interactivity band, at 50 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T: GB200 NVL72 runs 9143 tok/s/GPU at $0.07/M tokens, MI355X runs 1099 at $0.37/M. GB200 NVL72 is 458% cheaper per token; GB200 NVL72 delivers 732% more tok/s/GPU.
Setting 76 tok/s/user as the target on Kimi K2.5/K2.6/K2.7-Code 1T, GB200 NVL72 produces 3553 tok/s/GPU ($0.17 per million tokens) and MI355X produces 695 ($0.59). GB200 NVL72 is 243% cheaper per token; GB200 NVL72 delivers 411% more tok/s/GPU.
At 102 tok/s/user interactivity on Kimi K2.5/K2.6/K2.7-Code 1T, GB200 NVL72 delivers 451 tok/s/GPU at $1.41 per million tokens; MI355X delivers 482 tok/s/GPU at $0.83. MI355X is 69% cheaper per token; MI355X delivers 7% more tok/s/GPU at this point. (Numbers reflect the default 1k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB200 NVL72:9143.5MI355X:1098.8 | GB200 NVL72:3552.7MI355X:695.5 | GB200 NVL72:451.0MI355X:482.3 |
| Cost ($/M tok) | GB200 NVL72:$0.067MI355X:$0.375 | GB200 NVL72:$0.172MI355X:$0.589 | GB200 NVL72:$1.407MI355X:$0.832 |
| tok/s/MW | GB200 NVL72:4889550MI355X:525730 | GB200 NVL72:1899865MI355X:332759 | GB200 NVL72:241164MI355X:230753 |
| Concurrency | GB200 NVL72:~4301MI355X:~44 | GB200 NVL72:~1003MI355X:~19 | GB200 NVL72:~98MI355X:~10 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.