Verified70% confidenceFactTime unknown
When the draft model prediction accuracy of Speculative Decoding reaches 60–80%, the overall inference speed can be improved by 2–3 times.
4
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70%
Confidence
Long-term
Relevance
6/2/2026
First Seen
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UnverifiedThe verification stage of speculative decoding can be executed in batches, typically improving overall throughput by 1.5–3x, and is theoretically equivalent to the original model's greedy/sampling results.76% similarUnverifiedSpeculative decoding technology makes the speed approximately 1.6 to 1.8 times faster, and in actual tests the large model accepted the small assistant's guesses approximately 79% of the time75% similarUnverified研究数据表明，在数学竞赛级别问题上，启用深度推理的模型准确率可从不足30%提升至80%以上73% similarUnverifiedThe speedup benefit of speculative decoding depends on the product of two factors: the draft acceptance rate and the average length of accepted tokens.73% similarUnverifiedOn reasoning-based question-answering tasks, the strongest closed-source models achieved accuracy exceeding 90%.72% similar
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