GLM 5/5.1 · Speculative Decoding

B200 FP8: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on B200 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.

At 27 tok/s/user on GLM 5/5.1 (B200 FP8), MTP delivers 1757 tok/s/chip at $0.27 per million tokens; Off delivers 2246 tok/s/chip at $0.21. Off is 28% cheaper per token; Off delivers 28% more tok/s/chip. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution.

MTP posts 1491 tok/s/chip for $0.32 per million tokens at 41 tok/s/user on GLM 5/5.1 (B200 FP8); Off posts 1174 tok/s/chip for $0.41. MTP is 27% cheaper per token; MTP delivers 27% more tok/s/chip. Draft-token acceptance rates determine whether speculative decoding helps or hurts at a given concurrency level.

Throughput at 55 tok/s/user on GLM 5/5.1 (B200 FP8): MTP hits 1249 tok/s/chip, Off hits 520. Per-million costs land at $0.38 and $0.92 respectively. MTP is 140% cheaper per token; MTP delivers 140% more tok/s/chip. 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 · 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: B200 FP8 MTP versus Off speculative decoding comparison at matched interactivity levels
B200 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/chip)
MTP:1756.9Off:2246.3
MTP:1490.8Off:1174.4
MTP:1249.0Off:520.3
Cost ($/M tok)
MTP:$0.274Off:$0.214
MTP:$0.322Off:$0.409
MTP:$0.385Off:$0.924
tok/s/MW
MTP:1027437Off:1313616
MTP:871839Off:686779
MTP:730383Off:304274
Concurrency
MTP:~60Off:~229
MTP:~34Off:~244
MTP:~21Off:~15

Inference Performance

Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.

Vendor:
Deployment:
Spec Decoding: