Muse Spark Open 816B · Performance per Dollar

Muse Spark Open 816B — B300 vs TPU7x Performance per Dollar

Cost per million tokens of B300 (NVIDIA Blackwell) versus TPU7x (Google Ironwood) 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 179 tok/s/user, the per-million math comes out to $0.02 for B300 and $0.02 for TPU7x; TPU7x delivers 41% more total tokens per dollar.

At 264 tok/s/user on Muse Spark Open 816B, B300 costs $0.04 per million tokens; TPU7x costs $0.02. TPU7x is 76% more cost-efficient at this operating point.

TPU7x edges B300 at 348 tok/s/user on Muse Spark Open 816B — $0.03 per million tokens versus $0.04, a 34% 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): B300 $2.26/chip/hr · TPU7x $1.03/chip/hr. Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model.

View full latency + throughput comparison →

Muse Spark Open 816B: B300 versus TPU7x cost per million tokens at matched interactivity levels — B300 versus TPU7x cost per million tokens for this comparison's canonical default workload. Lower cost indicates better performance per dollar.

Interpolated from real benchmark data. Edit target interactivity values below to compare at different operating points.

Metric	Interactivity (tok/s/user)	Interactivity (tok/s/user)	Interactivity (tok/s/user)
Dollar per Million Tokens	B300:$0.023TPU7x:$0.016	B300:$0.036TPU7x:$0.020	B300:$0.042TPU7x:$0.031
Concurrency	B300:~18TPU7x:~11	B300:~20TPU7x:~9	B300:~17TPU7x:~5