MiniMax M2.5/M2.7 · Speculative Decoding

B200 FP4: MTP vs Off Speculative Decoding

Speculative decoding comparison of MTP versus Off on B200 FP4 (NVIDIA Blackwell) running MiniMax M2.5/M2.7. 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 66 tok/s/user on MiniMax M2.5/M2.7 (B200 FP4), Off delivers 8554 tok/s/GPU at $0.06 per million tokens; MTP hasn't been benchmarked at this target.

Off hits 2744 tok/s/GPU for $0.20 per million tokens at 110 tok/s/user on MiniMax M2.5/M2.7 (B200 FP4). No MTP data at this operating point.

Off: 772 tok/s/GPU, $0.71 per million tokens at 154 tok/s/user on MiniMax M2.5/M2.7 (B200 FP4). MTP is unmeasured here. (Numbers reflect this URL's pinned 1k/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.)

MiniMax M2.5/M2.7: B200 FP4 MTP versus Off speculative decoding comparison at matched interactivity levels
B200 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/gpu)
MTP:Off:8553.8
MTP:Off:2744.2
MTP:Off:772.0
Cost ($/M tok)
MTP:Off:$0.063
MTP:Off:$0.198
MTP:Off:$0.710
tok/s/MW
MTP:Off:5002251
MTP:Off:1604791
MTP:Off:451468
Concurrency
MTP:Off:~1000
MTP:Off:~128
MTP:Off:~12

Inference Performance

Inference performance metrics across different models, hardware configurations, and serving parameters.

Vendor:
Aggregation:
Spec Decoding: