Unverified50% confidenceBenchmarkExact time
On the Qwen3.8-27B model, Eagle-4 achieves a 3.59x inference speedup relative to Vanilla (original autoregressive decoding).
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/21/2026
First Seen
Valid until: 11/4/2026
Sources
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Related Claims
UnverifiedAt a throughput of 259k, Qwen3.5 achieves approximately a 19× speed improvement, with hybrid attention contributing approximately 5×, MoE sparsification approximately 2×, and Multi-Token Prediction approximately 1.5×.66% similarUnverifiedOn the held-out compound recipe test set, the LoRA fine-tuned model caught 66%, while the base Qwen3.5-4B model caught 78%.66% similarVerifiedQwen3.6 35B-A3B是混合专家架构（MoE），总参数量35B，每次推理实际激活参数量约3B65% similarUnverifiedThe study tested four sizes of the Qwen3 series—0.6B, 1.7B, 4B, and 8B—running at FP16 precision, greedy decoding, a single frozen prompt, and no fine-tuning.64% similarUnverifiedOn "continuation of previous operation" type utterances, Qwen3.6-35B-A3B achieved an accuracy of 86.3%, while the 4B and 8B models achieved only 70.4%.64% similar
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