Qwen 3.5 397B-A17B · Speculative Decoding

H200 FP8: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on H200 FP8 (NVIDIA Hopper) running Qwen 3.5 397B-A17B. 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 55 tok/s/user on Qwen 3.5 397B-A17B (H200 FP8), MTP delivers 549 tok/s/GPU at $0.71 per million tokens; Off delivers 342 tok/s/GPU at $1.14. MTP is 62% cheaper per token; MTP delivers 61% more tok/s/GPU. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution.

MTP posts 458 tok/s/GPU for $0.86 per million tokens at 75 tok/s/user on Qwen 3.5 397B-A17B (H200 FP8); Off posts 247 tok/s/GPU for $1.56. MTP is 82% cheaper per token; MTP delivers 85% more tok/s/GPU. Draft-token acceptance rates determine whether speculative decoding helps or hurts at a given concurrency level.

Throughput at 96 tok/s/user on Qwen 3.5 397B-A17B (H200 FP8): MTP hits 378 tok/s/GPU, Off hits 197. Per-million costs land at $1.04 and $1.98 respectively. MTP is 91% cheaper per token; MTP delivers 92% 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 · 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.)

Qwen 3.5 397B-A17B: H200 FP8 MTP versus Off speculative decoding comparison at matched interactivity levels
H200 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:549.4Off:342.0
MTP:457.7Off:247.2
MTP:378.5Off:197.1
Cost ($/M tok)
MTP:$0.706Off:$1.143
MTP:$0.857Off:$1.559
MTP:$1.035Off:$1.980
tok/s/MW
MTP:317594Off:197685
MTP:264575Off:142862
MTP:218781Off:113948
Concurrency
MTP:~40Off:~25
MTP:~24Off:~13
MTP:~16Off:~9

Inference Performance

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

Vendor:
Aggregation:
Spec Decoding: