MiniMax M3 428B — GB300 NVL72 vs MI355X
Head-to-head AI inference benchmark comparison of GB300 NVL72 (NVIDIA Blackwell) and MI355X (AMD CDNA 4) on MiniMax M3 428B. 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 9–158 tok/s/user interactivity band, at 46 tok/s/user on MiniMax M3 428B: GB300 NVL72 runs 2629 tok/s/GPU at $0.27/M tokens, MI355X runs 2920 at $0.14/M. MI355X is 91% cheaper per token; MI355X delivers 11% more tok/s/GPU.
Setting 84 tok/s/user as the target on MiniMax M3 428B, GB300 NVL72 produces 763 tok/s/GPU ($1.00 per million tokens) and MI355X produces 1741 ($0.24). MI355X is 322% cheaper per token; MI355X delivers 128% more tok/s/GPU.
At 121 tok/s/user interactivity on MiniMax M3 428B, GB300 NVL72 delivers 266 tok/s/GPU at $2.73 per million tokens; MI355X delivers 1081 tok/s/GPU at $0.38. MI355X is 615% cheaper per token; MI355X delivers 306% more tok/s/GPU at this point. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | GB300 NVL72:2628.8MI355X:2920.4 | GB300 NVL72:763.0MI355X:1741.4 | GB300 NVL72:266.0MI355X:1080.6 |
| Cost ($/M tok) | GB300 NVL72:$0.270MI355X:$0.141 | GB300 NVL72:$0.996MI355X:$0.236 | GB300 NVL72:$2.726MI355X:$0.381 |
| tok/s/MW | GB300 NVL72:1239995MI355X:1397332 | GB300 NVL72:359904MI355X:833196 | GB300 NVL72:125448MI355X:517032 |
| Concurrency | GB300 NVL72:~700MI355X:~138 | GB300 NVL72:~89MI355X:~44 | GB300 NVL72:~23MI355X:~19 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.