GLM 5/5.1 — B300 vs MI325X
Head-to-head AI inference benchmark comparison of B300 (NVIDIA Blackwell) and MI325X (AMD CDNA 3) 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.
Near the low end of the 17–34 tok/s/user interactivity band, at 21 tok/s/user on GLM 5/5.1: B300 runs 1311 tok/s/GPU at $0.50/M tokens, MI325X runs 173 at $2.08/M. B300 is 320% cheaper per token; B300 delivers 659% more tok/s/GPU.
Setting 26 tok/s/user as the target on GLM 5/5.1, B300 produces 1169 tok/s/GPU ($0.56 per million tokens) and MI325X produces 101 ($3.53). B300 is 532% cheaper per token; B300 delivers 1054% more tok/s/GPU.
At 30 tok/s/user interactivity on GLM 5/5.1, B300 delivers 1062 tok/s/GPU at $0.61 per million tokens; MI325X delivers 62 tok/s/GPU at $5.71. B300 is 831% cheaper per token; B300 delivers 1626% more tok/s/GPU at this point. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | B300:1311.3MI325X:172.9 | B300:1169.4MI325X:101.3 | B300:1062.1MI325X:61.6 |
| Cost ($/M tok) | B300:$0.496MI325X:$2.081 | B300:$0.559MI325X:$3.534 | B300:$0.613MI325X:$5.710 |
| tok/s/MW | B300:604301MI325X:79293 | B300:538903MI325X:46466 | B300:489460MI325X:28234 |
| Concurrency | B300:~256MI325X:~34 | B300:~194MI325X:~16 | B300:~149MI325X:~9 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.