Qwen 3.5 397B-A17B · Speculative Decoding

B200 BF16: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on B200 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.

Near the low end of the 103–168 tok/s/user interactivity band, at 119 tok/s/user on Qwen 3.5 397B-A17B (B200 BF16): MTP runs 1058 tok/s/chip at $0.45/M tokens, Off runs 270 at $1.78/M. MTP is 291% cheaper per token; MTP delivers 291% more tok/s/chip. 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 BF16), MTP delivers 828 tok/s/chip at $0.58 per million tokens; Off delivers 214 tok/s/chip at $2.25. MTP is 288% cheaper per token; MTP delivers 288% more tok/s/chip. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution.

MTP posts 732 tok/s/chip for $0.66 per million tokens at 152 tok/s/user on Qwen 3.5 397B-A17B (B200 BF16); Off posts 178 tok/s/chip for $2.70. MTP is 312% cheaper per token; MTP delivers 312% 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 · 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: B200 BF16 MTP versus Off speculative decoding comparison at matched interactivity levels
B200 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:1058.2Off:270.4
MTP:828.2Off:213.6
MTP:731.8Off:177.8
Cost ($/M tok)
MTP:$0.454Off:$1.777
MTP:$0.580Off:$2.249
MTP:$0.657Off:$2.703
tok/s/MW
MTP:618848Off:158129
MTP:484300Off:124930
MTP:427931Off:103964
Concurrency
MTP:~40Off:~10
MTP:~27Off:~7
MTP:~22Off:~5

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: