As a language model, ChatGPT3 and Jasper are both state-of-the-art models in their respective categories. However, there are several other language models that can be considered their competitors. Here are a few examples:

BERT (Bidirectional Encoder Representations from Transformers): Developed by Google, BERT is a pre-trained transformer-based language model that uses a bidirectional approach to contextualize words and sentences.

GPT-2 (Generative Pre-trained Transformer 2): Similar to ChatGPT3, GPT-2 is a large-scale transformer-based language model that can generate human-like text.RoBERTa (Robustly Optimized BERT approach): RoBERTa is a variation of BERT that uses a larger training corpus and more optimization techniques to improve performance.

T5 (Text-to-Text Transfer Transformer): Developed by Google, T5 is a transformer-based language model that can perform a wide range of text-based tasks, including text summarization, question answering, and translation.

XLNet: Developed by researchers at Carnegie Mellon University and Google, XLNet is a transformer-based language model that uses a permutation-based training approach to improve its ability to model long-term dependencies.

These are just a few examples of language models that can be considered competitors to ChatGPT3 and Jasper. However, it's worth noting that each of these models has its own strengths and weaknesses and may be better suited to different types of tasks or applications.