DeepSeek V4.1 Flash 552B · Performance per Dollar

DeepSeek V4.1 Flash 552B — B200 vs B300 Performance per Dollar

Cost per million tokens of B200 (NVIDIA Blackwell) versus B300 (NVIDIA Blackwell) on DeepSeek V4.1 Flash 552B. 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 26–347 tok/s/user interactivity band — at 106 tok/s/user — B200 runs $0.01 per million tokens on DeepSeek V4.1 Flash 552B while B300 runs $0.01. B200 is the cheaper choice by 37%.

On DeepSeek V4.1 Flash 552B at 186 tok/s/user, the per-million math comes out to $0.02 for B200 and $0.03 for B300; B200 delivers 37% more total tokens per dollar.

At 267 tok/s/user on DeepSeek V4.1 Flash 552B, B200 costs $0.03 per million tokens; B300 costs $0.05. B200 is 34% 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): B200 $1.73/chip/hr · B300 $2.26/chip/hr. Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model.

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DeepSeek V4.1 Flash 552B: B200 versus B300 cost per million tokens at matched interactivity levels
B200 versus B300 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
B200:$0.008B300:$0.011
B200:$0.018B300:$0.025
B200:$0.034B300:$0.046
Concurrency
B200:~33B300:~31
B200:~15B300:~14
B200:~7B300:~7

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.