Muse Spark Open 816B — B300 vs GB300 NVL72 Performance per Dollar
Cost per million tokens of B300 (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 →
Push Muse Spark Open 816B to 94 tok/s/user and B300 lands at $0.03 per million tokens against GB300 NVL72's $0.03 — B300 pulls ahead by 5%.
B300: $0.04 per million tokens. GB300 NVL72: $0.04. Both at 174 tok/s/user on Muse Spark Open 816B, with GB300 NVL72 6% cheaper.
Toward the upper edge of the 15–334 tok/s/user interactivity band — at 254 tok/s/user — B300 runs $0.10 per million tokens on Muse Spark Open 816B while GB300 NVL72 runs $0.09. GB300 NVL72 is the cheaper choice by 14%. (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): B300 $2.26/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 | B300:$0.029GB300 NVL72:$0.031 | B300:$0.043GB300 NVL72:$0.040 | B300:$0.103GB300 NVL72:$0.091 |
| Concurrency | B300:~16GB300 NVL72:~16 | B300:~12GB300 NVL72:~11 | B300:~4GB300 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.