MiniMax M3 428B — B300 vs MI355X
Head-to-head AI inference benchmark comparison of B300 (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 12–348 tok/s/user interactivity band, at 95 tok/s/user on MiniMax M3 428B: B300 runs 1424 tok/s/GPU at $0.46/M tokens, MI355X runs 1506 at $0.27/M. MI355X is 68% cheaper per token; MI355X delivers 6% more tok/s/GPU.
Setting 180 tok/s/user as the target on MiniMax M3 428B, B300 produces 746 tok/s/GPU ($0.88 per million tokens) and MI355X produces 567 ($0.71). MI355X is 24% cheaper per token; B300 delivers 32% more tok/s/GPU.
At 264 tok/s/user interactivity on MiniMax M3 428B, B300 delivers 361 tok/s/GPU at $1.76 per million tokens; MI355X delivers 217 tok/s/GPU at $1.95. B300 is 11% cheaper per token; B300 delivers 66% more tok/s/GPU at this point. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | B300:1423.9MI355X:1505.7 | B300:746.3MI355X:567.3 | B300:361.2MI355X:217.0 |
| Cost ($/M tok) | B300:$0.459MI355X:$0.273 | B300:$0.882MI355X:$0.713 | B300:$1.759MI355X:$1.945 |
| tok/s/MW | B300:749445MI355X:720453 | B300:392798MI355X:271433 | B300:190113MI355X:103837 |
| Concurrency | B300:~45MI355X:~35 | B300:~8MI355X:~7 | B300:~6MI355X:~2 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.