Head-to-head AI inference benchmark comparison of GB300 NVL72 (NVIDIA Blackwell) and MI300X (AMD CDNA 3) on DeepSeek V4.1 Flash 552B. Latency, throughput, and cost across LLM workloads. Use the chart controls below to switch sequences, precisions, and metrics β 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 β
Near the low end of the 24β204 tok/s/user interactivity band, at 68 tok/s/user on DeepSeek V4.1 Flash 552B: GB300 NVL72 runs 732212 tok/s/chip at $0.00/M tokens, MI300X runs 9097 at $0.03/M. GB300 NVL72 is 3210% cheaper per token; GB300 NVL72 delivers 7949% more tok/s/chip.
Setting 114 tok/s/user as the target on DeepSeek V4.1 Flash 552B, GB300 NVL72 produces 732212 tok/s/chip ($0.00 per million tokens) and MI300X produces 5347 ($0.05). GB300 NVL72 is 5531% cheaper per token; GB300 NVL72 delivers 13593% more tok/s/chip.
At 159 tok/s/user interactivity on DeepSeek V4.1 Flash 552B, GB300 NVL72 delivers 731561 tok/s/chip at $0.00 per million tokens; MI300X delivers 3800 tok/s/chip at $0.07. GB300 NVL72 is 7817% cheaper per token; GB300 NVL72 delivers 19152% more tok/s/chip at this point. (Numbers reflect the default agentic-traces Β· fp4 selection for this URL β table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | GB300 NVL72:732211.8MI300X:9096.6 | GB300 NVL72:732211.8MI300X:5347.4 | GB300 NVL72:731561.4MI300X:3799.9 |
| Cost ($/M tok) | GB300 NVL72:$0.001MI300X:$0.029 | GB300 NVL72:$0.001MI300X:$0.049 | GB300 NVL72:$0.001MI300X:$0.069 |
| tok/s/MW | GB300 NVL72:345382939MI300X:6544333 | GB300 NVL72:345382939MI300X:3847032 | GB300 NVL72:345076152MI300X:2733771 |
| Concurrency | GB300 NVL72:~4096MI300X:~7 | GB300 NVL72:~4096MI300X:~3 | GB300 NVL72:~4089MI300X:~1 |
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.
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