Muse Spark Open 816B — GB300 NVL72 vs H200 Performance per Dollar
Cost per million tokens of GB300 NVL72 (NVIDIA Blackwell) versus H200 (NVIDIA Hopper) on Muse Spark Open 816B. 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 H200 at 56 tok/s/user on Muse Spark Open 816B — $0.03 per million tokens versus $0.06, a 96% cost-per-token gap.
Push Muse Spark Open 816B to 99 tok/s/user and GB300 NVL72 lands at $0.03 per million tokens against H200's $0.07 — GB300 NVL72 pulls ahead by 138%.
GB300 NVL72: $0.04 per million tokens. H200: $0.12. Both at 143 tok/s/user on Muse Spark Open 816B, with GB300 NVL72 232% 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): GB300 NVL72 $2.31/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 | GB300 NVL72:$0.028H200:$0.056 | GB300 NVL72:$0.031H200:$0.075 | GB300 NVL72:$0.036H200:$0.120 |
| Concurrency | GB300 NVL72:~20H200:~13 | GB300 NVL72:~16H200:~8 | GB300 NVL72:~13H200:~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.