MiniMax M3 428B — B200 vs MI300X
Head-to-head AI inference benchmark comparison of B200 (NVIDIA Blackwell) and MI300X (AMD CDNA 3) 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.
Setting 48 tok/s/user as the target on MiniMax M3 428B, B200 produces 3319 tok/s/chip ($0.15 per million tokens) and MI300X produces 509 ($0.51). B200 is 245% cheaper per token; B200 delivers 552% more tok/s/chip.
At 82 tok/s/user interactivity on MiniMax M3 428B, B200 delivers 1683 tok/s/chip at $0.29 per million tokens; MI300X delivers 201 tok/s/chip at $1.31. B200 is 354% cheaper per token; B200 delivers 738% more tok/s/chip at this point.
B200 posts 1396 tok/s/chip for $0.36 per million tokens at 115 tok/s/user on MiniMax M3 428B; MI300X posts 142 tok/s/chip for $1.82. B200 is 401% cheaper per token; B200 delivers 880% more tok/s/chip. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | B200:3318.7MI300X:508.7 | B200:1683.2MI300X:200.9 | B200:1395.8MI300X:142.4 |
| Cost ($/M tok) | B200:$0.148MI300X:$0.509 | B200:$0.288MI300X:$1.307 | B200:$0.363MI300X:$1.819 |
| tok/s/MW | B200:1940764MI300X:366003 | B200:984302MI300X:144553 | B200:816286MI300X:102431 |
| Concurrency | B200:~168MI300X:~45 | B200:~62MI300X:~10 | B200:~28MI300X:~5 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.