Kimi K3 2.8T — B300 vs MI355X Performance per Dollar
Cost per million tokens of B300 (NVIDIA Blackwell) versus MI355X (AMD CDNA 4) 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 9–120 tok/s/user interactivity band — at 36 tok/s/user — B300 runs $0.09 per million tokens on Kimi K3 2.8T while MI355X runs $0.06. MI355X is the cheaper choice by 46%.
Cost-per-million is essentially even between B300 ($0.12) and MI355X ($0.12) at 64 tok/s/user on Kimi K3 2.8T.
At 92 tok/s/user on Kimi K3 2.8T, B300 costs $0.15 per million tokens; MI355X costs $0.22. B300 is 51% 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 · 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 | B300:$0.087MI355X:$0.059 | B300:$0.121MI355X:$0.121 | B300:$0.149MI355X:$0.224 |
| Concurrency | B300:~14MI355X:~21 | B300:~8MI355X:~5 | B300:~6MI355X:~4 |
Inference Performance
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.
No data available
No measurements to plot for this selection. Review the benchmark controls above or adjust quick filters.