Qwen 3.5 397B-A17B · Speculative Decoding

GB300 NVL72 FP8: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on GB300 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.

MTP posts 10224 tok/s/chip for $0.06 per million tokens at 93 tok/s/user on Qwen 3.5 397B-A17B (GB300 NVL72 FP8); Off posts 2800 tok/s/chip for $0.23. MTP is 265% cheaper per token; MTP delivers 265% more tok/s/chip. Draft-token acceptance rates determine whether speculative decoding helps or hurts at a given concurrency level.

Throughput at 131 tok/s/user on Qwen 3.5 397B-A17B (GB300 NVL72 FP8): MTP hits 5267 tok/s/chip, Off hits 1529. Per-million costs land at $0.12 and $0.42 respectively. MTP is 244% cheaper per token; MTP delivers 244% 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.

Toward the upper edge of the 55–206 tok/s/user interactivity band, at 169 tok/s/user on Qwen 3.5 397B-A17B (GB300 NVL72 FP8): MTP runs 3181 tok/s/chip at $0.20/M tokens, Off runs 728 at $0.88/M. MTP is 337% cheaper per token; MTP delivers 337% more tok/s/chip. Gains from speculative decoding vary by workload; short-output prompts tend to benefit less. (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: GB300 NVL72 FP8 MTP versus Off speculative decoding comparison at matched interactivity levels
GB300 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:10223.9Off:2799.8
MTP:5266.8Off:1529.2
MTP:3180.7Off:727.8
Cost ($/M tok)
MTP:$0.063Off:$0.229
MTP:$0.122Off:$0.420
MTP:$0.202Off:$0.882
tok/s/MW
MTP:4822602Off:1320647
MTP:2484317Off:721311
MTP:1500330Off:343282
Concurrency
MTP:~906Off:~30
MTP:~122Off:~12
MTP:~46Off:~4

Inference Performance

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