Unverified50% confidenceBenchmarkExact time
Under the same reference image conditions, compared with the same-scale Qwen3-VL baseline, AesCode-32B improved visual quality by 22.4 percentage points.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/14/2026
First Seen
Valid until: 1/12/2027
Sources
Related Entities
Related Claims
Unverified千问3.8 27B是27.8B的稠密模型，支持图像和视频原生多模态输入，原生262K上下文66% similarUnverifiedd1-3B has 3.12B parameters, its vision encoder is a shape-optimized version of SigLIP2 NaFlex (400M), its context length is 32,768 tokens, its vocabulary is 128,000, its weight format is Safetensors/BF16, its base model is LFM2.5-VL-3B (the text backbone was weight-averaged with LFM2.5-2.6B), and its license is lfm1.0.65% similarUnverifiedQwen3 27B's score on the long-horizon autonomous coding metric DeepSWE jumped from 13.3 in the previous generation to 42.2.64% similarUnverifiedEach of Qwen3-27B's 16 full-attention layers has 4 KV heads and a head dimension of 256, occupying 64 KB per token at 16-bit precision.64% similar
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