DeepSeekv4 Pro 0813 1.6T · Speculative Decoding

MI325X FP8: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on MI325X FP8 (AMD CDNA 3) running DeepSeekv4 Pro 0813 1.6T. 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.

At 9 tok/s/user on DeepSeekv4 Pro 0813 1.6T (MI325X FP8), MTP delivers 503 tok/s/chip at $0.61 per million tokens; Off delivers 365 tok/s/chip at $0.84. MTP is 38% cheaper per token; MTP delivers 38% more tok/s/chip. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution.

MTP posts 356 tok/s/chip for $0.86 per million tokens at 13 tok/s/user on DeepSeekv4 Pro 0813 1.6T (MI325X FP8); Off posts 215 tok/s/chip for $1.42. MTP is 66% cheaper per token; MTP delivers 66% more tok/s/chip. Draft-token acceptance rates determine whether speculative decoding helps or hurts at a given concurrency level.

Throughput at 17 tok/s/user on DeepSeekv4 Pro 0813 1.6T (MI325X FP8): MTP hits 267 tok/s/chip, Off hits 99. Per-million costs land at $1.14 and $3.10 respectively. MTP is 171% cheaper per token; MTP delivers 171% 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. (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.)

DeepSeekv4 Pro 0813 1.6T: MI325X FP8 MTP versus Off speculative decoding comparison at matched interactivity levels
MI325X 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:503.1Off:364.8
MTP:356.2Off:214.6
MTP:267.1Off:98.7
Cost ($/M tok)
MTP:$0.607Off:$0.838
MTP:$0.858Off:$1.424
MTP:$1.144Off:$3.096
tok/s/MW
MTP:297692Off:215876
MTP:210776Off:126975
MTP:158021Off:58395
Concurrency
MTP:~230Off:~166
MTP:~113Off:~68
MTP:~66Off:~24

Inference Performance

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