DeepSeek V4.1 Flash 552B — H100 vs H200 Performance per Dollar
Cost per million tokens of H100 (NVIDIA Hopper) versus H200 (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 81 tok/s/user and H100 lands at $0.03 per million tokens against H200's $0.02 — H200 pulls ahead by 74%.
H100: $0.05 per million tokens. H200: $0.03. Both at 155 tok/s/user on DeepSeek V4.1 Flash 552B, with H200 53% cheaper.
Toward the upper edge of the 7–303 tok/s/user interactivity band — at 230 tok/s/user — H100 runs $0.08 per million tokens on DeepSeek V4.1 Flash 552B while H200 runs $0.06. H200 is the cheaper choice by 31%. (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): H100 $1.17/chip/hr · H200 $1.22/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 | H100:$0.030H200:$0.017 | H100:$0.047H200:$0.031 | H100:$0.078H200:$0.059 |
| Concurrency | H100:~15H200:~14 | H100:~8H200:~6 | H100:~4H200:~2 |
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.