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DeepSeek V4.1 Flash 552B Β· Chip comparison

DeepSeek V4.1 Flash 552B β€” GB200 NVL72 vs MI300X

Head-to-head AI inference benchmark comparison of GB200 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†’

GB200 NVL72 posts 174575 tok/s/chip for $0.00 per million tokens at 87 tok/s/user on DeepSeek V4.1 Flash 552B; MI300X posts 7468 tok/s/chip for $0.04. GB200 NVL72 is 1094% cheaper per token; GB200 NVL72 delivers 2238% more tok/s/chip.

Throughput at 126 tok/s/user on DeepSeek V4.1 Flash 552B: GB200 NVL72 hits 131106 tok/s/chip, MI300X hits 4195. Per-million costs land at $0.00 and $0.06 respectively. GB200 NVL72 is 1496% cheaper per token; GB200 NVL72 delivers 3025% more tok/s/chip.

GB200 NVL72 / MI300X on DeepSeek V4.1 Flash 552B at 165 tok/s/user: 81803 / 3701 tok/s/chip, $0.01 / $0.07 per million tokens. GB200 NVL72 is 1029% cheaper per token; GB200 NVL72 delivers 2110% more tok/s/chip. (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.)

View performance-per-dollar view β†’

Interpolated from real benchmark data. Edit target interactivity values below to compare at different operating points.
Metric
Interactivity (tok/s/user)
Interactivity (tok/s/user)
Interactivity (tok/s/user)
Throughput (tok/s/chip)
GB200 NVL72:174575.0MI300X:7468.2
GB200 NVL72:131106.1MI300X:4194.8
GB200 NVL72:81802.6MI300X:3700.9
Cost ($/M tok)
GB200 NVL72:$0.003MI300X:$0.035
GB200 NVL72:$0.004MI300X:$0.063
GB200 NVL72:$0.006MI300X:$0.071
tok/s/MW
GB200 NVL72:93355595MI300X:5372775
GB200 NVL72:70110222MI300X:3017812
GB200 NVL72:43744701MI300X:2662521
Concurrency
GB200 NVL72:~126MI300X:~5
GB200 NVL72:~66MI300X:~2
GB200 NVL72:~57MI300X:~1

Inference Performance

Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.

Benchmark Config
8K / 1K
Chart Config
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