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 166 tok/s/user, the per-million math comes out to $0.00 for B200 and $0.01 for GB200 NVL72; B200 delivers 38% more total tokens per dollar.
At 282 tok/s/user on DeepSeek V4.1 Flash 552B, B200 costs $0.02 per million tokens; GB200 NVL72 costs $0.03. B200 is 106% more cost-efficient at this operating point.
B200 edges GB200 NVL72 at 399 tok/s/user on DeepSeek V4.1 Flash 552B — $0.03 per million tokens versus $0.03, a 8% 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.
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Dollar per Million Tokens | B200:$0.004GB200 NVL72:$0.006 | B200:$0.015GB200 NVL72:$0.031 | B200:$0.030GB200 NVL72:$0.032 |
| Concurrency | B200:~47GB200 NVL72:~47 | B200:~10GB200 NVL72:~4 | B200:~8GB200 NVL72:~8 |
Inference Performance
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.
No data available
No measurements to plot for this selection. Review the benchmark controls above or adjust quick filters.