DeepSeekv4 Pro 0813 1.6T · Speculative Decoding

MI355X FP4: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on MI355X FP4 (AMD CDNA 4) 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.

MTP posts 5202 tok/s/chip for $0.08 per million tokens at 21 tok/s/user on DeepSeekv4 Pro 0813 1.6T (MI355X FP4); Off posts 4487 tok/s/chip for $0.09. MTP is 16% cheaper per token; MTP delivers 16% more tok/s/chip. Draft-token acceptance rates determine whether speculative decoding helps or hurts at a given concurrency level.

Throughput at 39 tok/s/user on DeepSeekv4 Pro 0813 1.6T (MI355X FP4): MTP hits 3789 tok/s/chip, Off hits 1330. Per-million costs land at $0.11 and $0.31 respectively. MTP is 185% cheaper per token; MTP delivers 185% 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 4–75 tok/s/user interactivity band, at 57 tok/s/user on DeepSeekv4 Pro 0813 1.6T (MI355X FP4): MTP runs 2198 tok/s/chip at $0.19/M tokens, Off runs 593 at $0.70/M. MTP is 270% cheaper per token; MTP delivers 270% 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 · fp4 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: MI355X FP4 MTP versus Off speculative decoding comparison at matched interactivity levels
MI355X FP4 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:5201.9Off:4487.0
MTP:3789.4Off:1329.6
MTP:2197.8Off:593.3
Cost ($/M tok)
MTP:$0.080Off:$0.093
MTP:$0.110Off:$0.313
MTP:$0.190Off:$0.702
tok/s/MW
MTP:2488936Off:2146870
MTP:1813116Off:636183
MTP:1051575Off:283856
Concurrency
MTP:~257Off:~916
MTP:~291Off:~16
MTP:~47Off:~10

Inference Performance

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