Unverified50% confidenceBenchmarkExact time
On the same benchmark with the Qwen3.8-27B model, DFlash2 achieves a 2.80x speedup, DSpark 2.57x, and MTP 2.22x.
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
UnverifiedThe flagship model in the Qwen2.5 era was 72B; the previous-generation Max reached approximately 2.4 trillion parameters, representing a roughly 33-fold increase in parameter count over two years.68% similarUnverifiedOn the B300 benchmark, Kimi K3's new optimization solution on vLLM achieved a 2.2 to 2.8× throughput improvement compared to version v0.27.1.66% similarUnverifiedAccording to data published by the project team, ALoDLM 8B's inference speed is about 3 times that of Qwen3-8B, while its benchmark results are also better.66% similarUnverifiedGlimmer's intelligence index score of 35 surpasses Gemma 2 27B (30) and nearly matches Qwen 2.5 (36), with Qwen 2.5 72B topping the leaderboard at 38.66% similarUnverifiedAt 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% similar
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