Muse Spark Open 816B — B300 vs H100 Performance per Dollar
Cost per million tokens of B300 (NVIDIA Blackwell) versus H100 (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 →
Push Muse Spark Open 816B to 52 tok/s/user and B300 lands at $0.03 per million tokens against H100's $0.25 — B300 pulls ahead by 740%.
B300: $0.03 per million tokens. H100: $0.25. Both at 91 tok/s/user on Muse Spark Open 816B, with B300 740% cheaper.
Toward the upper edge of the 15–166 tok/s/user interactivity band — at 129 tok/s/user — B300 runs $0.03 per million tokens on Muse Spark Open 816B while H100 runs $0.25. B300 is the cheaper choice by 674%. (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 · H100 $1.17/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:$0.029H100:$0.247 | B300:$0.029H100:$0.247 | B300:$0.032H100:$0.247 |
| Concurrency | B300:~16H100:~1 | B300:~16H100:~1 | B300:~15H100:~1 |
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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