DeepSeek V4 Pro 1.6T · Speculative Decoding

GB200 NVL72 FP4: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on GB200 NVL72 FP4 (NVIDIA Blackwell) running DeepSeek V4 Pro 1.6T. Throughput, cost, and interactivity differences across LLM workloads. Use the chart controls below to switch sequences and metrics — same interactions as the main inference chart.

MTP acceptance-rate comparability

MTP acceptance-rate implementations differ across inference engines. Points from different engines are not directly comparable on the same curve — throughput and cost at matched interactivity may reflect engine-level differences rather than pure speculative decoding gains. Interpret cross-engine comparisons with caution.

At 35 tok/s/user on DeepSeek V4 Pro 1.6T (GB200 NVL72 FP4), MTP delivers 9479 tok/s/GPU at $0.06 per million tokens; Off delivers 6850 tok/s/GPU at $0.09. MTP is 38% cheaper per token; MTP delivers 38% more tok/s/GPU. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution.

MTP posts 9479 tok/s/GPU for $0.06 per million tokens at 53 tok/s/user on DeepSeek V4 Pro 1.6T (GB200 NVL72 FP4); Off posts 551 tok/s/GPU for $1.20. MTP is 1756% cheaper per token; MTP delivers 1622% more tok/s/GPU. Draft-token acceptance rates determine whether speculative decoding helps or hurts at a given concurrency level.

Throughput at 70 tok/s/user on DeepSeek V4 Pro 1.6T (GB200 NVL72 FP4): MTP hits 8833 tok/s/GPU, Off hits 208. Per-million costs land at $0.07 and $6.54 respectively. MTP is 9323% cheaper per token; MTP delivers 4144% more tok/s/GPU. Speculative decoding trades extra compute on draft tokens for fewer decoding steps — the payoff depends on sequence length and batch size. (Numbers reflect this URL's pinned 8k/1k · fp4 workload — changing sequence or model updates both the table and chart; the table stays pinned to this page's precision, so precision toggles in the controls affect the chart only.)

DeepSeek V4 Pro 1.6T: GB200 NVL72 FP4 MTP versus Off speculative decoding comparison at matched interactivity levels
GB200 NVL72 FP4 MTP versus Off speculative decoding comparison for this page's canonical default workload.
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)
Throughput (tok/s/gpu)
MTP:9478.9Off:6849.7
MTP:9478.9Off:550.5
MTP:8833.3Off:208.2
Cost ($/M tok)
MTP:$0.065Off:$0.090
MTP:$0.065Off:$1.202
MTP:$0.069Off:$6.543
tok/s/MW
MTP:5068910Off:3662925
MTP:5068910Off:294386
MTP:4723670Off:111311
Concurrency
MTP:~16384Off:~2005
MTP:~16384Off:~62
MTP:~7117Off:~21

Inference Performance

Inference performance metrics across different models, hardware configurations, and serving parameters.

Vendor:
Aggregation:
Spec Decoding: