GLM 5/5.1 · Speculative Decoding

GB300 NVL72 FP8: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on GB300 NVL72 FP8 (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.

MTP posts 6418 tok/s/GPU for $0.12 per million tokens at 42 tok/s/user on GLM 5/5.1 (GB300 NVL72 FP8); Off posts 3237 tok/s/GPU for $0.24. MTP is 112% cheaper per token; MTP delivers 98% more tok/s/GPU. Draft-token acceptance rates determine whether speculative decoding helps or hurts at a given concurrency level.

Throughput at 50 tok/s/user on GLM 5/5.1 (GB300 NVL72 FP8): MTP hits 5729 tok/s/GPU, Off hits 510. Per-million costs land at $0.13 and $1.44 respectively. MTP is 1020% cheaper per token; MTP delivers 1024% 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.

Toward the upper edge of the 35–65 tok/s/user interactivity band, at 57 tok/s/user on GLM 5/5.1 (GB300 NVL72 FP8): MTP runs 3576 tok/s/GPU at $0.21/M tokens, Off runs 233 at $3.19/M. MTP is 1409% cheaper per token; MTP delivers 1434% more tok/s/GPU. Gains from speculative decoding vary by workload; short-output prompts tend to benefit less. (Numbers reflect this URL's pinned 8k/1k · fp8 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: GB300 NVL72 FP8 MTP versus Off speculative decoding comparison at matched interactivity levels
GB300 NVL72 FP8 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:6417.9Off:3237.2
MTP:5729.4Off:509.9
MTP:3576.0Off:233.1
Cost ($/M tok)
MTP:$0.115Off:$0.244
MTP:$0.129Off:$1.441
MTP:$0.211Off:$3.192
tok/s/MW
MTP:3056144Off:1541547
MTP:2728275Off:242821
MTP:1702863Off:111001
Concurrency
MTP:~2312Off:~799
MTP:~1721Off:~132
MTP:~867Off:~36

Inference Performance

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

Vendor:
Aggregation:
Spec Decoding: