Kimi K2.5/K2.6/K2.7-Code 1T — B200 vs MI355X
Head-to-head AI inference benchmark comparison of B200 (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 23–123 tok/s/user interactivity band, at 48 tok/s/user on Kimi K2.5/K2.6/K2.7-Code 1T: B200 runs 9162 tok/s/GPU at $0.06/M tokens, MI355X runs 3252 at $0.13/M. B200 is 116% cheaper per token; B200 delivers 182% more tok/s/GPU.
Setting 73 tok/s/user as the target on Kimi K2.5/K2.6/K2.7-Code 1T, B200 produces 3035 tok/s/GPU ($0.18 per million tokens) and MI355X produces 2298 ($0.18). B200 is 2% cheaper per token; B200 delivers 32% more tok/s/GPU.
At 98 tok/s/user interactivity on Kimi K2.5/K2.6/K2.7-Code 1T, B200 delivers 2013 tok/s/GPU at $0.27 per million tokens; MI355X delivers 1648 tok/s/GPU at $0.25. MI355X is 9% cheaper per token; B200 delivers 22% more tok/s/GPU at this point. (Numbers reflect the default 8k/1k · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | B200:9161.6MI355X:3251.9 | B200:3035.2MI355X:2298.5 | B200:2013.2MI355X:1647.5 |
| Cost ($/M tok) | B200:$0.059MI355X:$0.126 | B200:$0.175MI355X:$0.178 | B200:$0.271MI355X:$0.250 |
| tok/s/MW | B200:5357635MI355X:1555952 | B200:1774962MI355X:1099740 | B200:1177336MI355X:788278 |
| Concurrency | B200:~319MI355X:~31 | B200:~156MI355X:~15 | B200:~89MI355X:~8 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.