Qwen 3.5 397B-A17B · Speculative Decoding

GB200 NVL72 FP8: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on GB200 NVL72 FP8 (NVIDIA Blackwell) 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 89 tok/s/user on Qwen 3.5 397B-A17B (GB200 NVL72 FP8), MTP delivers 10304 tok/s/chip at $0.05 per million tokens; Off delivers 3468 tok/s/chip at $0.15. MTP is 197% cheaper per token; MTP delivers 197% more tok/s/chip. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution.

MTP posts 7708 tok/s/chip for $0.07 per million tokens at 130 tok/s/user on Qwen 3.5 397B-A17B (GB200 NVL72 FP8); Off posts 1855 tok/s/chip for $0.28. MTP is 316% cheaper per token; MTP delivers 316% more tok/s/chip. Draft-token acceptance rates determine whether speculative decoding helps or hurts at a given concurrency level.

Throughput at 172 tok/s/user on Qwen 3.5 397B-A17B (GB200 NVL72 FP8): MTP hits 3808 tok/s/chip, Off hits 939. Per-million costs land at $0.14 and $0.55 respectively. MTP is 306% cheaper per token; MTP delivers 306% 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.)

Qwen 3.5 397B-A17B: GB200 NVL72 FP8 MTP versus Off speculative decoding comparison at matched interactivity levels
GB200 NVL72 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:10304.0Off:3467.7
MTP:7708.5Off:1854.9
MTP:3808.3Off:938.7
Cost ($/M tok)
MTP:$0.050Off:$0.149
MTP:$0.067Off:$0.279
MTP:$0.136Off:$0.550
tok/s/MW
MTP:5510151Off:1854362
MTP:4122183Off:991918
MTP:2036551Off:502002
Concurrency
MTP:~1083Off:~38
MTP:~437Off:~13
MTP:~50Off:~5

Inference Performance

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

Benchmark Config