Qwen 3.5 397B-A17B · Speculative Decoding

H100 FP8: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on H100 FP8 (NVIDIA Hopper) 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 60–157 tok/s/user interactivity band, at 84 tok/s/user on Qwen 3.5 397B-A17B (H100 FP8): MTP runs 361 tok/s/chip at $0.90/M tokens, Off runs 214 at $1.52/M. MTP is 69% cheaper per token; MTP delivers 69% more tok/s/chip. Gains from speculative decoding vary by workload; short-output prompts tend to benefit less.

At 108 tok/s/user on Qwen 3.5 397B-A17B (H100 FP8), MTP delivers 292 tok/s/chip at $1.11 per million tokens; Off delivers 160 tok/s/chip at $2.03. MTP is 82% cheaper per token; MTP delivers 82% more tok/s/chip. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution.

MTP posts 240 tok/s/chip for $1.35 per million tokens at 133 tok/s/user on Qwen 3.5 397B-A17B (H100 FP8); Off posts 102 tok/s/chip for $3.20. MTP is 137% cheaper per token; MTP delivers 137% 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 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: H100 FP8 MTP versus Off speculative decoding comparison at matched interactivity levels
H100 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:360.9Off:213.9
MTP:291.9Off:160.2
MTP:240.5Off:101.5
Cost ($/M tok)
MTP:$0.901Off:$1.519
MTP:$1.113Off:$2.029
MTP:$1.352Off:$3.201
tok/s/MW
MTP:263401Off:156145
MTP:213065Off:116900
MTP:175528Off:74101
Concurrency
MTP:~18Off:~11
MTP:~11Off:~6
MTP:~8Off:~3

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: