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DeepSeek V4.1 Flash 552B Β· Chip comparison

DeepSeek V4.1 Flash 552B β€” GB200 NVL72 vs MI355X

Head-to-head AI inference benchmark comparison of GB200 NVL72 (NVIDIA Blackwell) and MI355X (AMD CDNA 4) 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 / MI355X on DeepSeek V4.1 Flash 552B at 137 tok/s/user: 112022 / 64135 tok/s/chip, $0.00 / $0.01 per million tokens. GB200 NVL72 is 41% cheaper per token; GB200 NVL72 delivers 75% more tok/s/chip.

Around the middle of the 12–515 tok/s/user interactivity band, at 263 tok/s/user on DeepSeek V4.1 Flash 552B: GB200 NVL72 runs 24345 tok/s/chip at $0.02/M tokens, MI355X runs 30627 at $0.01/M. MI355X is 56% cheaper per token; MI355X delivers 26% more tok/s/chip.

Setting 389 tok/s/user as the target on DeepSeek V4.1 Flash 552B, GB200 NVL72 produces 16277 tok/s/chip ($0.03 per million tokens) and MI355X produces 13829 ($0.03). MI355X is 5% cheaper per token; GB200 NVL72 delivers 18% 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 NVL72:112022.5MI355X:64135.5
GB200 NVL72:24345.0MI355X:30627.4
GB200 NVL72:16276.7MI355X:13829.4
Cost ($/M tok)
GB200 NVL72:$0.005MI355X:$0.006
GB200 NVL72:$0.021MI355X:$0.014
GB200 NVL72:$0.032MI355X:$0.030
tok/s/MW
GB200 NVL72:59905069MI355X:30686822
GB200 NVL72:13018739MI355X:14654275
GB200 NVL72:8704123MI355X:6616914
Concurrency
GB200 NVL72:~61MI355X:~32
GB200 NVL72:~9MI355X:~8
GB200 NVL72:~8MI355X:~3

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
Interactivity
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