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 74 tok/s/user on Qwen 3.5 397B-A17B (B200 FP8): MTP hits 8147 tok/s/chip, Off hits 4542. Per-million costs land at $0.06 and $0.11 respectively. MTP is 79% cheaper per token; MTP delivers 79% 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.

Around the middle of the 23–226 tok/s/user interactivity band, at 124 tok/s/user on Qwen 3.5 397B-A17B (B200 FP8): MTP runs 5867 tok/s/chip at $0.08/M tokens, Off runs 2631 at $0.18/M. MTP is 123% cheaper per token; MTP delivers 123% more tok/s/chip. Gains from speculative decoding vary by workload; short-output prompts tend to benefit less.

At 175 tok/s/user on Qwen 3.5 397B-A17B (B200 FP8), MTP delivers 4342 tok/s/chip at $0.11 per million tokens; Off delivers 1338 tok/s/chip at $0.36. MTP is 225% cheaper per token; MTP delivers 225% more tok/s/chip. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution. (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: 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/chip)
MTP:8147.0Off:4541.9
MTP:5866.8Off:2630.6
MTP:4342.1Off:1338.0
Cost ($/M tok)
MTP:$0.059Off:$0.106
MTP:$0.082Off:$0.183
MTP:$0.111Off:$0.359
tok/s/MW
MTP:4764309Off:2656104
MTP:3430887Off:1538371
MTP:2539215Off:782445
Concurrency
MTP:~52Off:~29
MTP:~23Off:~10
MTP:~12Off:~4

Inference Performance

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

Benchmark Config