Kimi K3 2.8T · Performance per Dollar

Kimi K3 2.8T — B300 vs Vera Rubin NVL72 Performance per Dollar

Cost per million tokens of B300 (NVIDIA Blackwell) versus Vera Rubin NVL72 (NVIDIA Vera Rubin) on Kimi K3 2.8T. 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 →

Near the low end of the 103–202 tok/s/user interactivity band — at 127 tok/s/user — B300 runs $0.25 per million tokens on Kimi K3 2.8T while Vera Rubin NVL72 runs $0.03. Vera Rubin NVL72 is the cheaper choice by 902%.

On Kimi K3 2.8T at 153 tok/s/user, the per-million math comes out to $0.30 for B300 and $0.03 for Vera Rubin NVL72; Vera Rubin NVL72 delivers 954% more total tokens per dollar.

At 178 tok/s/user on Kimi K3 2.8T, B300 costs $0.31 per million tokens; Vera Rubin NVL72 costs $0.03. Vera Rubin NVL72 is 839% more cost-efficient at this operating point. (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 · Vera Rubin NVL72 $3.61/chip/hr. Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model.

View full latency + throughput comparison →

Kimi K3 2.8T: B300 versus Vera Rubin NVL72 cost per million tokens at matched interactivity levels
B300 versus Vera Rubin NVL72 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:$0.252Vera Rubin NVL72:$0.025
B300:$0.303Vera Rubin NVL72:$0.029
B300:$0.307Vera Rubin NVL72:$0.033
Concurrency
B300:~3Vera Rubin NVL72:~221
B300:~2Vera Rubin NVL72:~184
B300:~1Vera Rubin NVL72:~151

Inference Performance

Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.

Benchmark Config

No data available

No measurements to plot for this selection. Review the benchmark controls above or adjust quick filters.