DeepSeek V4.1 Flash 552B · Performance per Dollar

DeepSeek V4.1 Flash 552B — B200 vs GB200 NVL72 Performance per Dollar

Cost per million tokens of B200 (NVIDIA Blackwell) versus GB200 NVL72 (NVIDIA Blackwell) on DeepSeek V4.1 Flash 552B. Large-hyperscaler-volume ownership TCO normalized by total 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.

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

On DeepSeek V4.1 Flash 552B at 81 tok/s/user, the per-million math comes out to $0.01 for B200 and $0.01 for GB200 NVL72; B200 delivers 40% more total tokens per dollar.

At 153 tok/s/user on DeepSeek V4.1 Flash 552B, B200 costs $0.01 per million tokens; GB200 NVL72 costs $0.02. B200 is 49% more cost-efficient at this operating point.

B200 edges GB200 NVL72 at 226 tok/s/user on DeepSeek V4.1 Flash 552B — $0.03 per million tokens versus $0.03, a 30% cost-per-token gap. (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.)

Chip pricing (owning hyperscaler): B200 $1.73/chip/hr · GB200 NVL72 $1.86/chip/hr. Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model.

View full latency + throughput comparison →

DeepSeek V4.1 Flash 552B: B200 versus GB200 NVL72 cost per million tokens at matched interactivity levels
B200 versus GB200 NVL72 cost per million tokens for this comparison's canonical default workload. Lower cost indicates better performance per dollar.
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)
Dollar per Million Tokens
B200:$0.007GB200 NVL72:$0.009
B200:$0.013GB200 NVL72:$0.019
B200:$0.025GB200 NVL72:$0.033
Concurrency
B200:~47GB200 NVL72:~32
B200:~20GB200 NVL72:~15
B200:~10GB200 NVL72:~8

Inference Performance

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

Benchmark Config

No data available

No measurements to plot for this selection. Review the benchmark controls above or adjust quick filters.