Muse Spark Open 816B — B200 vs MI355X Performance per Dollar
Cost per million tokens of B200 (NVIDIA Blackwell) versus MI355X (AMD CDNA 4) 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 →
On Muse Spark Open 816B at 109 tok/s/user, the per-million math comes out to $0.02 for B200 and $0.08 for MI355X; B200 delivers 248% more total tokens per dollar.
At 134 tok/s/user on Muse Spark Open 816B, B200 costs $0.03 per million tokens; MI355X costs $0.13. B200 is 369% more cost-efficient at this operating point.
B200 edges MI355X at 159 tok/s/user on Muse Spark Open 816B — $0.04 per million tokens versus $0.17, a 339% cost-per-token gap. (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 · MI355X $1.50/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:$0.023MI355X:$0.079 | B200:$0.027MI355X:$0.126 | B200:$0.038MI355X:$0.166 |
| Concurrency | B200:~36MI355X:~10 | B200:~26MI355X:~2 | B200:~17MI355X:~4 |
Inference Performance
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.
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