GLM 5/5.1 — MI325X vs MI355X Performance per Dollar
Cost per million tokens of MI325X (AMD CDNA 3) 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.
MI355X edges MI325X at 21 tok/s/user on GLM 5/5.1 — $0.41 per million tokens versus $1.79, a 336% cost-per-token gap.
Push GLM 5/5.1 to 26 tok/s/user and MI325X lands at $3.04 per million tokens against MI355X's $0.43 — MI355X pulls ahead by 607%.
MI325X: $4.91 per million tokens. MI355X: $0.44. Both at 30 tok/s/user on GLM 5/5.1, with MI355X 1014% cheaper. (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.)
Chip pricing (owning hyperscaler): MI325X $1.10/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 | MI325X:$1.789MI355X:$0.411 | MI325X:$3.037MI355X:$0.430 | MI325X:$4.907MI355X:$0.441 |
| Concurrency | MI325X:~34MI355X:~128 | MI325X:~16MI355X:~128 | MI325X:~9MI355X:~128 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.