Muse Spark Open 816B — GB200 NVL72 vs GB300 NVL72 Performance per Dollar
Cost per million tokens of GB200 NVL72 (NVIDIA Blackwell) versus GB300 NVL72 (NVIDIA Blackwell) 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 →
GB200 NVL72: $0.03 per million tokens. GB300 NVL72: $0.03. Both at 123 tok/s/user on Muse Spark Open 816B, with GB200 NVL72 20% cheaper.
Around the middle of the 57–321 tok/s/user interactivity band — at 189 tok/s/user — GB200 NVL72 runs $0.06 per million tokens on Muse Spark Open 816B while GB300 NVL72 runs $0.04. GB300 NVL72 is the cheaper choice by 34%.
Cost-per-million is essentially even between GB200 NVL72 ($0.09) and GB300 NVL72 ($0.09) at 255 tok/s/user on Muse Spark Open 816B. (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): GB200 NVL72 $1.86/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 | GB200 NVL72:$0.028GB300 NVL72:$0.034 | GB200 NVL72:$0.058GB300 NVL72:$0.044 | GB200 NVL72:$0.091GB300 NVL72:$0.091 |
| Concurrency | GB200 NVL72:~13GB300 NVL72:~14 | GB200 NVL72:~7GB300 NVL72:~11 | GB200 NVL72:~3GB300 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.