Muse Spark Open 816B — B200 vs B300 Performance per Dollar
Cost per million tokens of B200 (NVIDIA Blackwell) versus B300 (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 →
B200: $0.03 per million tokens. B300: $0.04. Both at 147 tok/s/user on Muse Spark Open 816B, with B200 15% cheaper.
Around the middle of the 84–334 tok/s/user interactivity band — at 209 tok/s/user — B200 runs $0.07 per million tokens on Muse Spark Open 816B while B300 runs $0.06. B300 is the cheaper choice by 13%.
On Muse Spark Open 816B at 272 tok/s/user, the per-million math comes out to $0.10 for B200 and $0.11 for B300; B200 delivers 11% more total tokens per dollar. (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 · B300 $2.26/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 | B200:$0.031B300:$0.035 | B200:$0.066B300:$0.059 | B200:$0.097B300:$0.108 |
| Concurrency | B200:~21B300:~14 | B200:~10B300:~8 | B200:~7B300:~3 |
Inference Performance
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.
No data available
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