DeepSeekv4 Pro 0813 1.6T · Performance per Dollar

DeepSeekv4 Pro 0813 1.6T — B200 vs Vera Rubin NVL72 Performance per Dollar

Cost per million tokens of B200 (NVIDIA Blackwell) versus Vera Rubin NVL72 (NVIDIA Vera Rubin) on DeepSeekv4 Pro 0813 1.6T. 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 →

Vera Rubin NVL72 edges B200 at 129 tok/s/user on DeepSeekv4 Pro 0813 1.6T — $0.00 per million tokens versus $0.02, a 440% cost-per-token gap.

Push DeepSeekv4 Pro 0813 1.6T to 185 tok/s/user and B200 lands at $0.05 per million tokens against Vera Rubin NVL72's $0.01 — Vera Rubin NVL72 pulls ahead by 654%.

B200: $0.12 per million tokens. Vera Rubin NVL72: $0.20. Both at 240 tok/s/user on DeepSeekv4 Pro 0813 1.6T, with B200 70% 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): B200 $1.73/chip/hr · Vera Rubin NVL72 $3.61/chip/hr. Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model.

View full latency + throughput comparison →

DeepSeekv4 Pro 0813 1.6T: B200 versus Vera Rubin NVL72 cost per million tokens at matched interactivity levels
B200 versus Vera Rubin 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:$0.021Vera Rubin NVL72:$0.004
B200:$0.053Vera Rubin NVL72:$0.007
B200:$0.120Vera Rubin NVL72:$0.205
Concurrency
B200:~56Vera Rubin NVL72:~2749
B200:~12Vera Rubin NVL72:~1288
B200:~4Vera Rubin NVL72:~21

Inference Performance

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

Benchmark Config
Run context