MiniMax M2.5/M2.7 · Chip comparison

MiniMax M2.5/M2.7 — H200 vs MI325X

Head-to-head AI inference benchmark comparison of H200 (NVIDIA Hopper) and MI325X (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.

Setting 46 tok/s/user as the target on MiniMax M2.5/M2.7, H200 produces 1405 tok/s/chip ($0.24 per million tokens) and MI325X produces 1643 ($0.19). MI325X is 31% cheaper per token; MI325X delivers 17% more tok/s/chip.

At 65 tok/s/user interactivity on MiniMax M2.5/M2.7, H200 delivers 764 tok/s/chip at $0.43 per million tokens; MI325X delivers 757 tok/s/chip at $0.41. MI325X is 5% cheaper per token; throughput per chip is essentially tied at this point.

H200 posts 492 tok/s/chip for $0.65 per million tokens at 85 tok/s/user on MiniMax M2.5/M2.7; MI325X posts 325 tok/s/chip for $0.94. H200 is 45% cheaper per token; H200 delivers 51% 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.)

View performance-per-dollar view →

Interpolated from real benchmark data. Edit target interactivity values below to compare at different operating points.
Metric
Interactivity (tok/s/user)
Interactivity (tok/s/user)
Interactivity (tok/s/user)
Throughput (tok/s/chip)
H200:1405.1MI325X:1642.6
H200:763.9MI325X:757.2
H200:491.8MI325X:324.7
Cost ($/M tok)
H200:$0.243MI325X:$0.186
H200:$0.434MI325X:$0.412
H200:$0.647MI325X:$0.940
tok/s/MW
H200:1025592MI325X:971943
H200:557576MI325X:448067
H200:358982MI325X:192115
Concurrency
H200:~62MI325X:~147
H200:~25MI325X:~38
H200:~12MI325X:~16

Inference Performance

Inference performance metrics across different models, hardware configurations, and serving parameters.

Vendor:
Deployment:
Spec Decoding: