swap_horiz ConvNeXt-XL Alternatives
Looking for alternatives to ConvNeXt-XL? Compare the top Accuracy options ranked by our AI scoring system.
ConvNeXt-XL
ConvNeXt-XL modernizes the standard ConvNet to achieve accuracy competitive with vision transformers on ImageNet.
apps Top ConvNeXt-XL Alternatives
The top alternative to ConvNeXt-XL in 2026 is ViT-Large (Vision Transformer) with a score of 9.5/10, followed by Noisy Student (EfficientNet-L2) (9.7) and DINOv2 (Self-Supervised ViT-g) (9.7).
ViT-Large (Vision Transformer)
Vision Transformer Large achieves competitive accuracy on ImageNet by applying transformer architecture directly to imag...
Noisy Student (EfficientNet-L2)
Noisy Student training with EfficientNet-L2 achieves state-of-the-art accuracy on ImageNet using self-training.
DINOv2 (Self-Supervised ViT-g)
DINOv2 with ViT-g sets new accuracy records for self-supervised visual feature learning on multiple downstream tasks.
Swin-L Transformer
Swin-L introduces shifted windows for efficient attention, achieving top accuracy on ImageNet and other vision tasks.
PaLM (540B)
Google's PaLM 540B achieves breakthrough accuracy across reasoning, language understanding, and generation tasks.
GLaM (Generalist Language Model)
Google's GLaM achieves high accuracy with a sparse mixture-of-experts architecture, surpassing dense models on several b...
T5-11B
Google's T5-11B achieves high accuracy across diverse NLP tasks via a unified text-to-text framework.
RoBERTa-Large
RoBERTa-Large improves upon BERT with more training data and longer training, achieving higher accuracy on GLUE and othe...
BERT-Large
BERT-Large set new accuracy records on eleven NLP tasks, including question answering and language inference.
ERNIE 3.0 Titan
Baidu's ERNIE 3.0 Titan achieves high accuracy on Chinese and English benchmarks by incorporating knowledge graph embedd...
Llama 3 70B
Llama 3 70B is a powerful open-source large language model developed by Meta. It distinguishes itself through its massiv...
summarize Quick Comparison Summary
| Alternative | Score | vs ConvNeXt-XL | Action |
|---|---|---|---|
| ViT-Large (Vision Transformer) | 9.5 | +0.1 | Compare |
| Noisy Student (EfficientNet-L2) | 9.7 | +0.3 | Compare |
| DINOv2 (Self-Supervised ViT-g) | 9.7 | +0.3 | Compare |
| Swin-L Transformer | 9.5 | +0.1 | Compare |
| PaLM (540B) | 9.9 | +0.5 | Compare |
| GLaM (Generalist Language Model) | 9.8 | +0.4 | Compare |
| T5-11B | 9.7 | +0.3 | Compare |
| RoBERTa-Large | 9.6 | +0.2 | Compare |
| BERT-Large | 9.5 | +0.1 | Compare |
| ERNIE 3.0 Titan | 9.6 | +0.2 | Compare |
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