DeepSeek V4.1 Flash 552B — B200 vs GB300 NVL72 Performance per Dollar
Cost per million tokens of B200 (NVIDIA Blackwell) versus GB300 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 →
Near the low end of the 8–21 tok/s/user interactivity band — at 11 tok/s/user — B200 runs $0.01 per million tokens on DeepSeek V4.1 Flash 552B while GB300 NVL72 runs $0.04. B200 is the cheaper choice by 557%.
On DeepSeek V4.1 Flash 552B at 14 tok/s/user, the per-million math comes out to $0.01 for B200 and $0.04 for GB300 NVL72; B200 delivers 677% more total tokens per dollar.
At 18 tok/s/user on DeepSeek V4.1 Flash 552B, B200 costs $0.01 per million tokens; GB300 NVL72 costs $0.05. B200 is 836% more cost-efficient at this operating point. (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 · GB300 NVL72 $2.31/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:$0.006GB300 NVL72:$0.036 | B200:$0.006GB300 NVL72:$0.043 | B200:$0.006GB300 NVL72:$0.052 |
| Concurrency | B200:~64GB300 NVL72:~34 | B200:~64GB300 NVL72:~25 | B200:~64GB300 NVL72:~19 |
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.