Unverified50% confidenceBenchmarkExact time
The 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.
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Long-term
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10/23/2026
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VerifiedWhen the draft model prediction accuracy of Speculative Decoding reaches 60–80%, the overall inference speed can be improved by 2–3 times.76% similarUnverifiedAmong the four judges that also see the artifact, the stronger the model, the smaller the gain from claimcheck, and the strongest judge is already close to the level of 'informed single call'.73% 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 time71% similarUnverifiedThe speedup benefit of speculative decoding depends on the product of two factors: the draft acceptance rate and the average length of accepted tokens.70% similarUnverifiedThe verification process in traditional speculative decoding accepts draft-proposed tokens with probability min(1, p(x)/q(x)), and upon rejection resamples from the corrected distribution norm(max(0, p(x)-q(x))), which can be proven to produce a token distribution identical to directly sampling from the target model (lossless).69% similar
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