DeepSeek V4.1 Flash 552B · Performance per Dollar

DeepSeek V4.1 Flash 552B — B200 vs H100 Performance per Dollar

Cost per million tokens of B200 (NVIDIA Blackwell) versus H100 (NVIDIA Hopper) 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

Push DeepSeek V4.1 Flash 552B to 226 tok/s/user and B200 lands at $0.03 per million tokens against H100's $0.13 — B200 pulls ahead by 414%.

B200: $0.03 per million tokens. H100: $0.13. Both at 243 tok/s/user on DeepSeek V4.1 Flash 552B, with B200 362% cheaper.

Toward the upper edge of the 210–275 tok/s/user interactivity band — at 259 tok/s/user — B200 runs $0.03 per million tokens on DeepSeek V4.1 Flash 552B while H100 runs $0.13. B200 is the cheaper choice by 310%. (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 · H100 $1.17/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 H100 cost per million tokens at matched interactivity levels
B200 versus H100 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:$0.025H100:$0.130
B200:$0.028H100:$0.131
B200:$0.032H100:$0.132
Concurrency
B200:~10H100:~2
B200:~9H100:~1
B200:~8H100:~1

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.