MiniMax M2.5/M2.7 — GB200 NVL72 vs MI300X
Head-to-head AI inference benchmark comparison of GB200 NVL72 (NVIDIA Blackwell) and MI300X (AMD CDNA 3) on MiniMax M2.5/M2.7. 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 27–95 tok/s/user interactivity band, at 44 tok/s/user on MiniMax M2.5/M2.7: GB200 NVL72 runs 5835 tok/s/chip at $0.09/M tokens, MI300X runs 1249 at $0.21/M. GB200 NVL72 is 139% cheaper per token; GB200 NVL72 delivers 367% more tok/s/chip.
Setting 61 tok/s/user as the target on MiniMax M2.5/M2.7, GB200 NVL72 produces 3207 tok/s/chip ($0.16 per million tokens) and MI300X produces 779 ($0.34). GB200 NVL72 is 112% cheaper per token; GB200 NVL72 delivers 312% more tok/s/chip.
At 78 tok/s/user interactivity on MiniMax M2.5/M2.7, GB200 NVL72 delivers 1320 tok/s/chip at $0.40 per million tokens; MI300X delivers 412 tok/s/chip at $0.63. GB200 NVL72 is 57% cheaper per token; GB200 NVL72 delivers 220% more tok/s/chip at this point. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | GB200 NVL72:5835.3MI300X:1248.6 | GB200 NVL72:3206.8MI300X:778.8 | GB200 NVL72:1319.9MI300X:411.9 |
| Cost ($/M tok) | GB200 NVL72:$0.089MI300X:$0.212 | GB200 NVL72:$0.161MI300X:$0.341 | GB200 NVL72:$0.404MI300X:$0.633 |
| tok/s/MW | GB200 NVL72:3120490MI300X:898287 | GB200 NVL72:1714862MI300X:560298 | GB200 NVL72:705818MI300X:296322 |
| Concurrency | GB200 NVL72:~1012MI300X:~63 | GB200 NVL72:~296MI300X:~26 | GB200 NVL72:~64MI300X:~11 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.