GLM 5/5.1 · Speculative Decoding

GB200 NVL72 FP4: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on GB200 NVL72 FP4 (NVIDIA Blackwell) running GLM 5/5.1. 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.

Throughput at 54 tok/s/user on GLM 5/5.1 (GB200 NVL72 FP4): MTP hits 7883 tok/s/GPU, Off hits 1566. Per-million costs land at $0.08 and $0.39 respectively. MTP is 397% cheaper per token; MTP delivers 403% 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.

Around the middle of the 45–84 tok/s/user interactivity band, at 64 tok/s/user on GLM 5/5.1 (GB200 NVL72 FP4): MTP runs 6816 tok/s/GPU at $0.09/M tokens, Off runs 1193 at $0.52/M. MTP is 468% cheaper per token; MTP delivers 471% more tok/s/GPU. Gains from speculative decoding vary by workload; short-output prompts tend to benefit less.

At 75 tok/s/user on GLM 5/5.1 (GB200 NVL72 FP4), MTP delivers 4214 tok/s/GPU at $0.15 per million tokens; Off delivers 487 tok/s/GPU at $1.46. MTP is 899% cheaper per token; MTP delivers 765% more tok/s/GPU. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution. (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.)

GLM 5/5.1: 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:7883.0Off:1566.1
MTP:6816.2Off:1192.9
MTP:4213.7Off:487.2
Cost ($/M tok)
MTP:$0.079Off:$0.392
MTP:$0.091Off:$0.516
MTP:$0.147Off:$1.463
tok/s/MW
MTP:3753800Off:745764
MTP:3245831Off:568045
MTP:2006535Off:231983
Concurrency
MTP:~1529Off:~131
MTP:~949Off:~129
MTP:~368Off:~100

Inference Performance

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

Vendor:
Aggregation:
Spec Decoding: