GLM 5/5.1 — B300 vs MI355X
Head-to-head AI inference benchmark comparison of B300 (NVIDIA Blackwell) and MI355X (AMD CDNA 4) on GLM 5/5.1. 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.
B300 posts 882 tok/s/chip for $0.71 per million tokens at 38 tok/s/user on GLM 5/5.1; MI355X posts 835 tok/s/chip for $0.50. MI355X is 43% cheaper per token; B300 delivers 6% more tok/s/chip.
Throughput at 60 tok/s/user on GLM 5/5.1: B300 hits 584 tok/s/chip, MI355X hits 373. Per-million costs land at $1.06 and $1.11 respectively. B300 is 4% cheaper per token; B300 delivers 56% more tok/s/chip.
B300 / MI355X on GLM 5/5.1 at 81 tok/s/user: 417 / 240 tok/s/chip, $1.49 / $1.75 per million tokens. B300 is 18% cheaper per token; B300 delivers 74% more tok/s/chip. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | B300:882.0MI355X:834.6 | B300:584.0MI355X:373.3 | B300:416.9MI355X:239.8 |
| Cost ($/M tok) | B300:$0.714MI355X:$0.497 | B300:$1.064MI355X:$1.107 | B300:$1.490MI355X:$1.752 |
| tok/s/MW | B300:464195MI355X:399338 | B300:307371MI355X:178628 | B300:219396MI355X:114753 |
| Concurrency | B300:~93MI355X:~121 | B300:~40MI355X:~13 | B300:~21MI355X:~8 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.