Qwen 3.5 397B-A17B · Speculative Decoding

GB300 NVL72 FP4: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on GB300 NVL72 FP4 (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.

Near the low end of the 46–278 tok/s/user interactivity band, at 104 tok/s/user on Qwen 3.5 397B-A17B (GB300 NVL72 FP4): MTP runs 34137 tok/s/chip at $0.02/M tokens, Off runs 12387 at $0.05/M. MTP is 176% cheaper per token; MTP delivers 176% more tok/s/chip. Gains from speculative decoding vary by workload; short-output prompts tend to benefit less.

At 162 tok/s/user on Qwen 3.5 397B-A17B (GB300 NVL72 FP4), MTP delivers 18210 tok/s/chip at $0.04 per million tokens; Off delivers 5253 tok/s/chip at $0.12. MTP is 247% cheaper per token; MTP delivers 247% more tok/s/chip. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution.

MTP posts 12786 tok/s/chip for $0.05 per million tokens at 220 tok/s/user on Qwen 3.5 397B-A17B (GB300 NVL72 FP4); Off posts 1895 tok/s/chip for $0.34. MTP is 575% cheaper per token; MTP delivers 575% more tok/s/chip. Draft-token acceptance rates determine whether speculative decoding helps or hurts at a given concurrency level. (Numbers reflect this URL's pinned 8k/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.)

Qwen 3.5 397B-A17B: GB300 NVL72 FP4 MTP versus Off speculative decoding comparison at matched interactivity levels
GB300 NVL72 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/chip)
MTP:34136.6Off:12387.4
MTP:18209.8Off:5253.1
MTP:12786.4Off:1895.2
Cost ($/M tok)
MTP:$0.019Off:$0.052
MTP:$0.035Off:$0.122
MTP:$0.050Off:$0.339
tok/s/MW
MTP:16102183Off:5843118
MTP:8589552Off:2477888
MTP:6031338Off:893960
Concurrency
MTP:~1171Off:~307
MTP:~479Off:~118
MTP:~166Off:~32

Inference Performance

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