DeepSeek V4.1 Flash 552B — B300 vs GB300 NVL72 Performance per Dollar
Cost per million tokens of B300 (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 →
GB300 NVL72 edges B300 at 174 tok/s/user on DeepSeek V4.1 Flash 552B — $0.00 per million tokens versus $0.01, a 499% cost-per-token gap.
Push DeepSeek V4.1 Flash 552B to 308 tok/s/user and B300 lands at $0.02 per million tokens against GB300 NVL72's $0.02 — GB300 NVL72 pulls ahead by 1%.
B300: $0.05 per million tokens. GB300 NVL72: $0.05. Both at 441 tok/s/user on DeepSeek V4.1 Flash 552B, with GB300 NVL72 14% cheaper. (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): B300 $2.26/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 | B300:$0.006GB300 NVL72:$0.001 | B300:$0.022GB300 NVL72:$0.021 | B300:$0.055GB300 NVL72:$0.048 |
| Concurrency | B300:~29GB300 NVL72:~3674 | B300:~16GB300 NVL72:~14 | B300:~2GB300 NVL72:~5 |
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.