GLM 5/5.1 — B200 vs MI355X Performance per Dollar
Cost per million tokens of B200 (NVIDIA Blackwell) versus MI355X (AMD CDNA 4) on GLM 5/5.1. Owning-hyperscaler TCO normalized by output tokens — performance per dollar across LLM workloads. Pick the more cost-efficient SKU at every target interactivity level. Use the chart controls below to switch sequences, precisions, and metrics — same interactions as the main inference chart.
B200 edges MI355X at 32 tok/s/user on GLM 5/5.1 — $0.27 per million tokens versus $0.31, a 13% cost-per-token gap.
Push GLM 5/5.1 to 51 tok/s/user and B200 lands at $0.37 per million tokens against MI355X's $0.43 — B200 pulls ahead by 17%.
B200: $0.48 per million tokens. MI355X: $0.58. Both at 71 tok/s/user on GLM 5/5.1, with B200 21% cheaper. (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.)
Chip pricing (owning hyperscaler): B200 $1.73/chip/hr · MI355X $1.50/chip/hr. Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model.
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Dollar per Million Tokens | B200:$0.274MI355X:$0.309 | B200:$0.370MI355X:$0.433 | B200:$0.480MI355X:$0.580 |
| Concurrency | B200:~240MI355X:~19 | B200:~23MI355X:~9 | B200:~13MI355X:~4 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.