B200 FP4: MTP vs Off Speculative Decoding
Speculative decoding comparison of MTP versus Off on B200 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 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 40 tok/s/user on GLM 5/5.1 (B200 FP4), MTP delivers 1269 tok/s/GPU at $0.43 per million tokens; Off delivers 1089 tok/s/GPU at $0.49. MTP is 16% cheaper per token; MTP delivers 17% more tok/s/GPU. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution.
MTP posts 934 tok/s/GPU for $0.58 per million tokens at 57 tok/s/user on GLM 5/5.1 (B200 FP4); Off posts 577 tok/s/GPU for $0.93. MTP is 60% cheaper per token; MTP delivers 62% more tok/s/GPU. Draft-token acceptance rates determine whether speculative decoding helps or hurts at a given concurrency level.
Throughput at 75 tok/s/user on GLM 5/5.1 (B200 FP4): MTP hits 687 tok/s/GPU, Off hits 281. Per-million costs land at $0.79 and $1.94 respectively. MTP is 145% cheaper per token; MTP delivers 145% more tok/s/GPU. Speculative decoding trades extra compute on draft tokens for fewer decoding steps — the payoff depends on sequence length and batch size. (Numbers reflect this URL's pinned 1k/1k · fp4 workload — changing sequence or model updates both the table and chart; the table stays pinned to this page's precision, so precision toggles in the controls affect the chart only.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/gpu) | MTP:1269.4Off:1089.0 | MTP:934.2Off:576.9 | MTP:687.0Off:280.7 |
| Cost ($/M tok) | MTP:$0.427Off:$0.494 | MTP:$0.580Off:$0.926 | MTP:$0.791Off:$1.936 |
| tok/s/MW | MTP:584966Off:501856 | MTP:430501Off:265864 | MTP:316593Off:129360 |
| Concurrency | MTP:~64Off:~55 | MTP:~34Off:~21 | MTP:~19Off:~8 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.