Qwen 3.5 397B-A17B · Speculative Decoding

B300 BF16: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on B300 BF16 (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 97 tok/s/user on Qwen 3.5 397B-A17B (B300 BF16), MTP delivers 1475 tok/s/chip at $0.43 per million tokens; Off delivers 506 tok/s/chip at $1.24. MTP is 191% cheaper per token; MTP delivers 191% more tok/s/chip. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution.

MTP posts 1053 tok/s/chip for $0.60 per million tokens at 122 tok/s/user on Qwen 3.5 397B-A17B (B300 BF16); Off posts 376 tok/s/chip for $1.67. MTP is 180% cheaper per token; MTP delivers 180% more tok/s/chip. Draft-token acceptance rates determine whether speculative decoding helps or hurts at a given concurrency level.

Throughput at 146 tok/s/user on Qwen 3.5 397B-A17B (B300 BF16): MTP hits 803 tok/s/chip, Off hits 256. Per-million costs land at $0.78 and $2.45 respectively. MTP is 214% cheaper per token; MTP delivers 214% 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 1k/1k · bf16 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: B300 BF16 MTP versus Off speculative decoding comparison at matched interactivity levels
B300 BF16 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:1475.1Off:506.2
MTP:1053.4Off:376.3
MTP:802.6Off:255.8
Cost ($/M tok)
MTP:$0.426Off:$1.240
MTP:$0.596Off:$1.668
MTP:$0.782Off:$2.454
tok/s/MW
MTP:776371Off:266417
MTP:554433Off:198075
MTP:422419Off:134641
Concurrency
MTP:~64Off:~11
MTP:~41Off:~6
MTP:~24Off:~4

Inference Performance

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

Vendor:
Deployment:
Spec Decoding: