Qwen 3.5 397B-A17B — MI325X vs RTX PRO 6000 Performance per Dollar
Cost per million tokens of MI325X (AMD CDNA 3) versus RTX PRO 6000 (NVIDIA Blackwell) on Qwen 3.5 397B-A17B. 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.
Only MI325X has cost data at 55 tok/s/user on Qwen 3.5 397B-A17B — $0.89 per million tokens. RTX PRO 6000 is unmeasured at this target.
MI325X costs $1.30 per million tokens at 70 tok/s/user on Qwen 3.5 397B-A17B; we have no RTX PRO 6000 benchmark data at this exact target.
At 84 tok/s/user on Qwen 3.5 397B-A17B, MI325X comes in at $2.09 per million tokens. RTX PRO 6000 hasn't been benchmarked at this operating point. (Numbers reflect the default 1k/1k · bf16 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
GPU pricing (owning hyperscaler): MI325X $1.28/GPU/hr · RTX PRO 6000 $0.43/GPU/hr. Source: SemiAnalysis Market August 2025 Pricing Surveys & AI Cloud TCO Model.
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Dollar per Million Tokens | MI325X:$0.891RTX PRO 6000:— | MI325X:$1.298RTX PRO 6000:— | MI325X:$2.090RTX PRO 6000:— |
| Concurrency | MI325X:~32RTX PRO 6000:— | MI325X:~16RTX PRO 6000:— | MI325X:~9RTX PRO 6000:— |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.