MiniMax M2.5/M2.7 — B200 vs MI355X
Head-to-head AI inference benchmark comparison of B200 (NVIDIA Blackwell) and MI355X (AMD CDNA 4) 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 14–110 tok/s/user interactivity band, at 37 tok/s/user on MiniMax M2.5/M2.7: B200 runs 10432 tok/s/GPU at $0.05/M tokens, MI355X runs 5356 at $0.08/M. B200 is 46% cheaper per token; B200 delivers 95% more tok/s/GPU.
Setting 62 tok/s/user as the target on MiniMax M2.5/M2.7, B200 produces 5345 tok/s/GPU ($0.10 per million tokens) and MI355X produces 3138 ($0.13). B200 is 28% cheaper per token; B200 delivers 70% more tok/s/GPU.
At 86 tok/s/user interactivity on MiniMax M2.5/M2.7, B200 delivers 3213 tok/s/GPU at $0.17 per million tokens; MI355X delivers 1954 tok/s/GPU at $0.21. B200 is 22% cheaper per token; B200 delivers 64% more tok/s/GPU at this point. (Numbers reflect the default 8k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | B200:10432.3MI355X:5355.6 | B200:5345.3MI355X:3138.1 | B200:3212.7MI355X:1953.9 |
| Cost ($/M tok) | B200:$0.053MI355X:$0.077 | B200:$0.101MI355X:$0.130 | B200:$0.169MI355X:$0.206 |
| tok/s/MW | B200:4807533MI355X:2020976 | B200:2463294MI355X:1184174 | B200:1480530MI355X:737337 |
| Concurrency | B200:~777MI355X:~67 | B200:~62MI355X:~11 | B200:~25MI355X:~5 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.