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 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.)

| 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.