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 24–123 tok/s/user interactivity band, at 48 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T: GB200 NVL72 runs 13585 tok/s/GPU at $0.04/M tokens, MI355X runs 3252 at $0.13/M. GB200 NVL72 is 181% cheaper per token; GB200 NVL72 delivers 318% more tok/s/GPU.
Setting 73 tok/s/user as the target on Kimi K2.5/K2.6/K2.7-Code 1T, GB200 NVL72 produces 7139 tok/s/GPU ($0.09 per million tokens) and MI355X produces 2298 ($0.18). GB200 NVL72 is 108% cheaper per token; GB200 NVL72 delivers 211% more tok/s/GPU.
At 98 tok/s/user interactivity on Kimi K2.5/K2.6/K2.7-Code 1T, GB200 NVL72 delivers 1553 tok/s/GPU at $0.40 per million tokens; MI355X delivers 1648 tok/s/GPU at $0.25. MI355X is 58% cheaper per token; MI355X delivers 6% more tok/s/GPU at this point. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB200 NVL72:13585.1MI355X:3251.9 | GB200 NVL72:7139.1MI355X:2298.5 | GB200 NVL72:1552.9MI355X:1647.5 |
| Cost ($/M tok) | GB200 NVL72:$0.045MI355X:$0.126 | GB200 NVL72:$0.086MI355X:$0.178 | GB200 NVL72:$0.396MI355X:$0.250 |
| tok/s/MW | GB200 NVL72:7264742MI355X:1555952 | GB200 NVL72:3817710MI355X:1099740 | GB200 NVL72:830414MI355X:788278 |
| Concurrency | GB200 NVL72:~1266MI355X:~31 | GB200 NVL72:~751MI355X:~15 | GB200 NVL72:~254MI355X:~8 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.