Muse Spark Open 816B — B200 vs H200 Performance per Dollar
Cost per million tokens of B200 (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 →
Push Muse Spark Open 816B to 110 tok/s/user and B200 lands at $0.02 per million tokens against H200's $0.08 — B200 pulls ahead by 259%.
B200: $0.03 per million tokens. H200: $0.11. Both at 135 tok/s/user on Muse Spark Open 816B, with B200 295% cheaper.
Toward the upper edge of the 84–186 tok/s/user interactivity band — at 161 tok/s/user — B200 runs $0.04 per million tokens on Muse Spark Open 816B while H200 runs $0.19. B200 is the cheaper choice by 381%. (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 · 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 | B200:$0.023H200:$0.082 | B200:$0.027H200:$0.107 | B200:$0.039H200:$0.188 |
| Concurrency | B200:~36H200:~7 | B200:~26H200:~6 | B200:~17H200:~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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