Head-to-head AI inference benchmark comparison of MI355X (AMD CDNA 4) and Vera Rubin NVL72 (NVIDIA Vera Rubin) on MiniMax M3 428B. 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.
AgentX replays real coding-agent sessions rather than fixed-length prompts, so context grows turn over turn and most of each request is served from cache instead of being recomputed. That turns the comparison into a systems question: KV transfer between nodes, prefix-aware routing, and cache capacity all move the curve alongside raw chip throughput. Fixed-sequence workloads stay the clean baseline for kernel and silicon performance, so the two scenarios answer different questions about the same hardware. Learn more about AgentX →
At 182 tok/s/user interactivity on MiniMax M3 428B, MI355X delivers 35093 tok/s/chip at $0.01 per million tokens; Vera Rubin NVL72 delivers 99858 tok/s/chip at $0.01. Vera Rubin NVL72 is 18% cheaper per token; Vera Rubin NVL72 delivers 185% more tok/s/chip at this point.
MI355X posts 17498 tok/s/chip for $0.02 per million tokens at 278 tok/s/user on MiniMax M3 428B; Vera Rubin NVL72 posts 61024 tok/s/chip for $0.02. Vera Rubin NVL72 is 45% cheaper per token; Vera Rubin NVL72 delivers 249% more tok/s/chip.
Throughput at 374 tok/s/user on MiniMax M3 428B: MI355X hits 9223 tok/s/chip, Vera Rubin NVL72 hits 37214. Per-million costs land at $0.05 and $0.03 respectively. Vera Rubin NVL72 is 68% cheaper per token; Vera Rubin NVL72 delivers 304% more tok/s/chip. (Numbers reflect the default agentic-traces · fp4 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | MI355X:35093.4Vera Rubin NVL72:99857.9 | MI355X:17497.8Vera Rubin NVL72:61024.4 | MI355X:9222.6Vera Rubin NVL72:37214.0 |
| Cost ($/M tok) | MI355X:$0.012Vera Rubin NVL72:$0.010 | MI355X:$0.024Vera Rubin NVL72:$0.016 | MI355X:$0.045Vera Rubin NVL72:$0.027 |
| tok/s/MW | MI355X:16791114Vera Rubin NVL72:30259965 | MI355X:8372154Vera Rubin NVL72:18492245 | MI355X:4412733Vera Rubin NVL72:11276980 |
| Concurrency | MI355X:~20Vera Rubin NVL72:~32 | MI355X:~10Vera Rubin NVL72:~22 | MI355X:~4Vera Rubin NVL72:~37 |
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.
TCO $/chip/hr:
Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model
Note: Disaggregated inference configurations (e.g., MoRI SGLang, Dynamo TRTLLM) calculate cost per million tokens per decode chip or per prefill chip, rather than per total chip count. This makes direct token cost comparison with aggregated configs not an apples-to-apples comparison.
Note: Disaggregated inference configurations (e.g., MoRI SGLang, Dynamo TRTLLM) calculate input throughput per decode chip or per prefill chip, rather than per total chip count. This makes direct input throughput comparison with aggregated configs not an apples-to-apples comparison.
Note: Disaggregated inference configurations (e.g., MoRI SGLang, Dynamo TRTLLM) calculate output throughput per decode chip or per prefill chip, rather than per total chip count. This makes direct output throughput comparison with aggregated configs not an apples-to-apples comparison.
Note: Disaggregated inference configurations (e.g., MoRI SGLang, Dynamo TRTLLM) calculate power per decode chip or per prefill chip, rather than per total chip count. This makes direct power comparison with aggregated configs not an apples-to-apples comparison.
Note: Disaggregated inference configurations (e.g., MoRI SGLang, Dynamo TRTLLM) calculate Joules per decode chip or per prefill chip, rather than per total chip count. This makes direct Joules per token comparison with aggregated configs not an apples-to-apples comparison.
Matching measurements exist, but their chip series are hidden.
Shift+Scroll to zoom • Drag to pan • Double-click to reset • Click a point to pin tooltip
1 The ATOM engine is promising, however it has yet to serve production tokens. It is still in its infant stage.
MiniMax M3 428B 8K / 1K Total Tokens per $1 TCO vs. Interactivity