Unverified50% confidenceBenchmarkExact time
At 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×.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/29/2026
First Seen
Valid until: 11/27/2026
Sources
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Related Claims
UnverifiedQwen3.5's parameter activation rate is 4.3%, while DeepSeek V3's 671B model has an activation rate of 5.5%.68% similarUnverifiedIn actual testing using the Qwen3 27B Q4 quantized dense model, the generation speed with thinking mode disabled is approximately 58–60 tokens/s.67% similarUnverifiedThrough allreduce fusion optimization, the Qwen3-Next model achieved a 71.4% improvement in throughput and reduced Time to First Token (TTFT) from 456ms to 168ms.67% similarUnverifiedQwen3 27B achieved a 100% pass rate in the 256K long-context memory retrieval test (needle in a haystack), with all 15 runs being accurate.67% similarUnverifiedQwen3.7 Max的输出质量高度依赖提示词质量，同一模型在不同提示词下的性能差异可高达30%-50%66% similar
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