The development of AI models is advancing at a rapid pace, with constant releases from both tech giants like Google and Microsoft and emerging startups like OpenAI and Anthropic.
Keeping up with the latest models can be overwhelming for any AI enthusiast.
Adding to the confusion are the benchmark scores that many companies use to promote their models. However, these technical indicators do not always reflect a model’s real-world performance in everyday or business applications.
To clear up any doubts, we have compiled a list of the most advanced AI models released since 2024, including details on their functionality, accessibility, and best use cases. Additionally, we will keep this article updated with the latest releases.
Currently, there are over a million AI models available. For example, the Hugging Face platform hosts more than 1.4 million models.
Even so, our list focuses on those that have demonstrated outstanding performance in various areas.
AI Models Released in 2025
OpenAI GPT-4.5 ‘Orion’
OpenAI has named Orion its largest model to date, highlighting its vast world knowledge and advanced “emotional intelligence.”
However, in certain tests, Orion has underperformed compared to newer models focused on logical reasoning. It is currently available to ChatGPT Pro subscribers for $200 per month.
In addition to its linguistic capabilities, Orion is designed for seamless integration into business applications, facilitating tasks such as report generation and data analysis.
Its architecture allows for customization tailored to the specific needs of different industries, making it a versatile tool for professionals.
Claude Sonnet 3.7
Anthropic has developed the first hybrid reasoning model, designed to offer quick responses while also providing deep analytical capabilities when needed.
Users can control how much time the model takes to think before responding. It is available to all Claude users, though power users may need the Pro subscription at $20 per month.
This model stands out for its ability to adapt to conversational context, providing more coherent and relevant responses. Its flexibility makes it ideal for customer service applications, where speed and accuracy are essential.
Additionally, its modular design allows for continuous updates, improving performance over time.
xAI Grok 3
Grok 3, developed by Elon Musk’s startup xAI, promises to outperform leading models in mathematics, science, and programming. Access to Grok 3 requires an X Premium subscription ($50/month).
Musk has promised to make the model more “politically neutral” following criticism of its previous version.
In addition to its technical skills, Grok 3 incorporates adaptive learning features, allowing users to personalize the model according to their preferences and specific needs.
This feature makes it particularly useful in educational settings, where it can serve as a personalized tutor across various subjects.
OpenAI o3-mini
OpenAI’s new reasoning model, optimized for STEM tasks such as programming, mathematics, and science.
Although not the company’s most powerful model, its smaller size makes it more accessible and cost-efficient. Available for free for occasional users but requires a subscription for heavy usage.
Despite its reduced size, o3-mini maintains high accuracy in its responses thanks to advanced model compression techniques.
This makes it ideal for devices with limited resources, expanding its applicability across various platforms, from mobile applications to embedded systems.
OpenAI Deep Research
Designed for in-depth research with clear and verifiable citations. Available exclusively with ChatGPT Pro ($200/month).
Useful for scientific inquiries and analytical shopping, though it still faces challenges with response accuracy.
Deep Research integrates with academic databases and scientific repositories, providing researchers with quick access to relevant information.
Its ability to generate detailed summaries and critical analyses makes it a valuable tool for professionals and academics looking to streamline their research processes.
Mistral Le Chat
Mistral has launched Le Chat, a multimodal personal assistant with ultra-fast responses. The paid version includes access to real-time news updates from AFP.
Independent evaluations have found that, although fast, it still makes more errors than ChatGPT.
Le Chat offers an intuitive interface that allows users to interact via voice and text commands, enabling a more natural experience.
Additionally, its ability to integrate with other services and applications makes it versatile, though caution is advised due to occasional inaccuracies.
Google Gemini 2.0 Pro Experimental
The most anticipated version of Google’s AI model excels in programming and general knowledge comprehension.
It features a 2-million-token context capacity, allowing it to process large volumes of information. Available with Google One AI Premium ($19.99/month).
Gemini 2.0 Pro Experimental is designed to handle large-scale programming projects, facilitating collaboration among developers.
Its ability to understand and generate code in multiple languages makes it an essential tool for development teams seeking efficiency and consistency in their projects.
AI Models Released in 2024
DeepSeek R1
In November 2024, the Chinese startup DeepSeek launched its DeepSeek R1-Lite-Preview model, designed for logical inference tasks, mathematical reasoning, and real-time problem-solving.
This model surprised the tech community with performance comparable to leading models like OpenAI o1, but developed at a fraction of the cost and resources. DeepSeek R1 is open-source, allowing developers and researchers to adapt and improve it according to their needs.
However, its use has sparked debates on privacy and security, especially in Western markets, due to concerns about data handling and potential built-in censorship.
Gemini 1.5
In 2024, Google DeepMind introduced Gemini 1.5, an evolution of its multimodal language model.
This model can process and generate multiple types of data, including text, images, audio, and video, enabling more natural and contextual interactions with users.
Gemini 1.5 stands out for its ability to handle contexts of up to 2 million tokens, facilitating the efficient processing of large volumes of information. Additionally, its architecture is optimized for TPUs, improving performance and accessibility for developers and researchers.
OpenAI GPT-4o
In May 2024, OpenAI launched GPT-4o, a multimodal version of its renowned language model.
GPT-4o integrates text, audio, and image processing, enabling more dynamic and versatile interactions.
One of GPT-4o’s key innovations is its ability to perform voice-to-voice recognition natively, offering nearly instant and accurate responses. This advancement has set new standards in voice recognition and translation, expanding the potential applications of language models across various industries.
Meta Llama 3.3 70B
In 2024, Meta released Llama 3.3 70B, an open-source language model that has gained popularity among developers.
This model stands out for its efficiency and performance in instruction comprehension and coherent text generation. As an open-source model, Llama 3.3 70B allows developers to customize and adapt it for various applications, fostering innovation and collaboration in the AI field.
Anthropic Claude Sonnet 3.5
In 2024, Anthropic introduced Claude Sonnet 3.5, a language model designed to deliver quick and precise responses across various contexts.
This model has excelled in programming and code generation tasks, making it a valuable tool for developers seeking efficient and reliable solutions. Claude Sonnet 3.5 is also recognized for its ability to understand and process complex instructions, facilitating human-machine interaction in technical environments.
Cohere Command R+
Cohere launched Command R+ in 2024, a language model optimized for retrieval-augmented generation (RAG) applications. This model is particularly effective in retrieving and citing specific information, making it ideal for applications requiring accuracy and detailed references.
Although Command R+ significantly improves AI systems’ ability to provide well-grounded responses, it still faces challenges related to generating inaccurate or “hallucinated” information, an area where further improvements are ongoing.
The year 2024 witnessed significant advancements in AI model development, with a growing focus on multimodality and open-source accessibility.
These developments have not only expanded the technical capabilities of AI models but also encouraged greater collaboration and adaptation across various industrial and research applications.
