MiniMax M3 428B · Speculative Decoding

B300 FP4: M3 EAGLE vs Off Speculative Decoding

Speculative decoding comparison of M3 EAGLE versus Off on B300 FP4 (NVIDIA Blackwell) running MiniMax M3 428B. 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 23–194 tok/s/user interactivity band, at 66 tok/s/user on MiniMax M3 428B (B300 FP4): M3 EAGLE runs 3255 tok/s/GPU at $0.20/M tokens, Off runs 1958 at $0.33/M. M3 EAGLE is 65% cheaper per token; M3 EAGLE delivers 66% more tok/s/GPU. Gains from speculative decoding vary by workload; short-output prompts tend to benefit less.

At 109 tok/s/user on MiniMax M3 428B (B300 FP4), M3 EAGLE delivers 2525 tok/s/GPU at $0.26 per million tokens; Off delivers 879 tok/s/GPU at $0.74. M3 EAGLE is 188% cheaper per token; M3 EAGLE delivers 187% more tok/s/GPU. Speculative decoding accepts draft tokens to reduce per-token latency — gains vary by workload and prompt distribution.

M3 EAGLE posts 1946 tok/s/GPU for $0.34 per million tokens at 152 tok/s/user on MiniMax M3 428B (B300 FP4); Off posts 282 tok/s/GPU for $2.29. M3 EAGLE is 581% cheaper per token; M3 EAGLE delivers 589% more tok/s/GPU. Draft-token acceptance rates determine whether speculative decoding helps or hurts at a given concurrency level. (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 M3 428B: B300 FP4 M3 EAGLE versus Off speculative decoding comparison at matched interactivity levels
B300 FP4 M3 EAGLE 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)
M3 EAGLE:3254.6Off:1958.1
M3 EAGLE:2525.0Off:878.9
M3 EAGLE:1946.1Off:282.5
Cost ($/M tok)
M3 EAGLE:$0.201Off:$0.332
M3 EAGLE:$0.256Off:$0.736
M3 EAGLE:$0.337Off:$2.293
tok/s/MW
M3 EAGLE:1712961Off:1030568
M3 EAGLE:1328936Off:462599
M3 EAGLE:1024281Off:148662
Concurrency
M3 EAGLE:~217Off:~73
M3 EAGLE:~109Off:~17
M3 EAGLE:~26Off:~4

Inference Performance

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

Vendor:
Aggregation:
Spec Decoding: