Qwen 3.5 397B-A17B · Speculative Decoding

B200 FP8: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on B200 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.

Throughput at 73 tok/s/user on Qwen 3.5 397B-A17B (B200 FP8): MTP hits 2984 tok/s/GPU, Off hits 890. Per-million costs land at $0.18 and $0.61 respectively. MTP is 232% cheaper per token; MTP delivers 235% 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.

Around the middle of the 42–166 tok/s/user interactivity band, at 104 tok/s/user on Qwen 3.5 397B-A17B (B200 FP8): MTP runs 1640 tok/s/GPU at $0.33/M tokens, Off runs 487 at $1.08/M. MTP is 225% cheaper per token; MTP delivers 236% more tok/s/GPU. Gains from speculative decoding vary by workload; short-output prompts tend to benefit less.

At 135 tok/s/user on Qwen 3.5 397B-A17B (B200 FP8), MTP delivers 1105 tok/s/GPU at $0.49 per million tokens; Off delivers 303 tok/s/GPU at $1.76. MTP is 261% cheaper per token; MTP delivers 264% more tok/s/GPU. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution. (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: B200 FP8 MTP versus Off speculative decoding comparison at matched interactivity levels
B200 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:2983.6Off:889.6
MTP:1640.0Off:487.4
MTP:1105.5Off:303.4
Cost ($/M tok)
MTP:$0.183Off:$0.607
MTP:$0.333Off:$1.083
MTP:$0.489Off:$1.765
tok/s/MW
MTP:1374932Off:409954
MTP:755773Off:224601
MTP:509439Off:139809
Concurrency
MTP:~90Off:~25
MTP:~36Off:~10
MTP:~18Off:~4

Inference Performance

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

Vendor:
Aggregation:
Spec Decoding: