MiniMax M3.1 Flash 428B — B200 vs B300 Performance per Dollar
Cost per million tokens of B200 (NVIDIA Blackwell) versus B300 (NVIDIA Blackwell) on MiniMax M3.1 Flash 428B. 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 →
B200: $0.01 per million tokens. B300: $0.01. Both at 142 tok/s/user on MiniMax M3.1 Flash 428B, with B200 26% cheaper.
Around the middle of the 7–549 tok/s/user interactivity band — at 278 tok/s/user — B200 runs $0.01 per million tokens on MiniMax M3.1 Flash 428B while B300 runs $0.03. B200 is the cheaper choice by 85%.
On MiniMax M3.1 Flash 428B at 414 tok/s/user, the per-million math comes out to $0.03 for B200 and $0.07 for B300; B200 delivers 105% more total tokens per dollar. (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 · B300 $2.26/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:$0.008B300:$0.010 | B200:$0.015B300:$0.027 | B200:$0.032B300:$0.066 |
| Concurrency | B200:~32B300:~41 | B200:~18B300:~12 | B200:~7B300:~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.