GLM 5/5.1 · Speculative Decoding

B300 FP4: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on B300 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.

Near the low end of the 27–92 tok/s/user interactivity band, at 43 tok/s/user on GLM 5/5.1 (B300 FP4): MTP runs 2310 tok/s/GPU at $0.29/M tokens, Off runs 984 at $0.65/M. MTP is 127% cheaper per token; MTP delivers 135% more tok/s/GPU. Gains from speculative decoding vary by workload; short-output prompts tend to benefit less.

At 59 tok/s/user on GLM 5/5.1 (B300 FP4), MTP delivers 1606 tok/s/GPU at $0.40 per million tokens; Off delivers 519 tok/s/GPU at $1.25. MTP is 209% cheaper per token; MTP delivers 210% more tok/s/GPU. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution.

MTP posts 1128 tok/s/GPU for $0.58 per million tokens at 76 tok/s/user on GLM 5/5.1 (B300 FP4); Off posts 259 tok/s/GPU for $2.53. MTP is 338% cheaper per token; MTP delivers 336% more tok/s/GPU. Draft-token acceptance rates determine whether speculative decoding helps or hurts at a given concurrency level. (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.)

GLM 5/5.1: B300 FP4 MTP versus Off speculative decoding comparison at matched interactivity levels
B300 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:2310.4Off:983.9
MTP:1605.5Off:518.7
MTP:1128.4Off:258.8
Cost ($/M tok)
MTP:$0.288Off:$0.653
MTP:$0.404Off:$1.250
MTP:$0.576Off:$2.525
tok/s/MW
MTP:1064712Off:453413
MTP:739878Off:239048
MTP:519978Off:119278
Concurrency
MTP:~129Off:~47
MTP:~55Off:~18
MTP:~31Off:~7

Inference Performance

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

Vendor:
Aggregation:
Spec Decoding: