TOP best large language modeling (LLM) models

When discussing the most prominent technologies today, it's impossible to ignore generative AI and large language models (LLM) – the foundation behind intelligent AI chatbots like ChatGPT, Gemini, and Claude.

Since OpenAI launched ChatGPT, the race to develop LLMs has become increasingly fierce. Not only large technology corporations but also startups and the open-source community are constantly introducing more powerful AI models, including inference models.

Hundreds of LLMs have emerged to date, but which are the most noteworthy? Below is a list of the TOP 10 best Large Language Models (LLMs) in 2026 .

TOP best large language modeling (LLM) models

OpenAI o3 and o1

When ChatGPT launched in late 2022, OpenAI quickly became a leader thanks to its GPT-3 model. By 2026, OpenAI still held the number one position with its o-series, specializing in inference capabilities.

OpenAI introduced o1 in September 2024 along with a completely new inference scaling technique, quickly surpassing traditional LLMs in reasoning ability.

Just three months later, OpenAI released the o3 series, marking a major leap forward as it demonstrated the generalization capabilities of LLM for the first time. This model passed the ARC-AGI test at a high computational configuration.

Although the computational cost to achieve this result is quite high, it demonstrates that LLMs can significantly improve their reasoning abilities if given more time and resources to "think".

Currently, o3-mini is offered free of charge, and o3-mini-high is available for ChatGPT Plus users. The full version of o3 is now integrated into Deep Research and has received many positive reviews from the scientific community.

OpenAI states that it is still in the early stages of inference scaling and that the capabilities of its AI models will grow rapidly in the future. Therefore, OpenAI is likely to continue leading the AI ​​race, especially with its o-series models built on the GPT-5 platform.

DeepSeek R1

After DeepSeek released its R1 model for free, the app quickly climbed to the number one spot on the App Store, even surpassing ChatGPT.

The emergence of DeepSeek also caused significant volatility in the US stock market as many investors questioned whether Western AI research labs were spending too much money on training models.

Through a comparison between DeepSeek R1 and OpenAI o1, it can be seen that DeepSeek R1 delivers very impressive results. However, this model still cannot surpass o1 in all tasks. Nevertheless, at present, DeepSeek R1 remains the inference model with the performance closest to OpenAI o1.

Claude 3.5 Sonnet

Although OpenAI has released o3-mini optimized for programming, many programmers still consider Anthropic's Claude 3.5 Sonnet to be the best LLM for coding.

Claude's strength stems from the fact that Anthropic adopted Reinforcement Learning (RL) to improve model quality very early on, even before OpenAI.

However, Anthropic has yet to release an inference model using inference scaling techniques.

Based on practical experience, the Claude 3.5 Sonnet is still considered one of the best traditional LLMs (non-reasoning models) on the market.

GPT-4o

Following GPT-4, OpenAI introduced GPT-4o in May 2024, adding multimodal capabilities, allowing for simultaneous processing of text, images, video, and audio.

Since then, GPT-4o has been continuously improved by OpenAI through numerous updates. In practical terms, GPT-4o is currently one of the most stable traditional AI models. It is suitable for most daily needs such as learning, knowledge acquisition, content creation, data analysis, and conversation.

GPT-4o is also the foundation for many of ChatGPT's outstanding features such as Advanced Voice Mode, Live Video, Canvas, file analysis, etc. OpenAI also stated that the ability to create images directly using GPT-4o will be released soon.

Gemini 2.0 Flash

In the AI ​​race, many expected Google to surpass OpenAI with Gemini. However, specifically in the area of ​​LLM, Google is still considered slower, largely due to its overly cautious approach.

Nevertheless, Google has achieved considerable success in the field of AI for multimedia content creation: Veo 2 in video creation and Imagen 3 in image creation. In terms of language processing, Gemini still has some limitations, such as rather lengthy responses, a lack of personality, and a tendency to avoid many sensitive topics.

Conversely, Gemini is very strong in multimodal AI. The model can simultaneously process text, images, videos, and audio, while supporting a context window of up to 2 million tokens.

Within the entire Gemini lineup, the Gemini 2.0 Flash stands out thanks to its excellent performance-to-cost ratio. Despite its smaller size, the Gemini 2.0 Flash still competes head-to-head with the GPT-4o and Claude 3.5 Sonnet in terms of content creation and general knowledge.

Meanwhile, Gemini 2.0 Pro offers better programming performance. Google also introduced Gemini 2.0 Flash Thinking, a reasoning model that uses inference scaling similar to OpenAI o1.

However, testing has shown that this model still cannot surpass OpenAI o1 in terms of reasoning ability. To compete on equal footing, Google will likely have to develop a Thinking version based on Gemini 2.0 Pro.

Qwen 2.5 Max

Following the success of DeepSeek, another major language model from China, Qwen 2.5 Max, has also quickly gained attention thanks to its impressive performance. Developed by Alibaba Cloud and launched in January 2025, Qwen 2.5 Max is a traditional language model (not a reasoning model), designed to compete directly with leading AIs such as GPT-4o, Claude 3.5 Sonnet, and Llama 3.1 405B.

A key feature of Qwen 2.5 Max is its use of a Mixture-of-Experts (MoE) architecture instead of the conventional dense architecture. This approach allows the model to achieve higher processing efficiency while optimizing scalability and saving computational resources.

On the Chatbot Arena ranking, Qwen 2.5 Max is in 7th place, behind only GPT-4o, Gemini 2.0 Flash, and OpenAI o1. Meanwhile, according to the Artificial Analysis Quality Index, the model scored 79 points, nearly equivalent to Claude 3.5 Sonnet's 80 points.

These results show that AI models originating from China are developing very rapidly and are gradually becoming formidable competitors to leading LLMs from the US and Europe.

Mistral Large 2 and Pixtral Large

Not only the US and China, but Europe also possesses powerful AI models. One of the most prominent names is Mistral AI – a Paris-based startup founded by former Google DeepMind and Meta engineers with a focus on developing open-source AI.

The Mistral Large 2 is currently the company's largest model with 123 billion parameters. Its greatest strength is its superior multilingual processing capability. In addition to English, the Mistral Large 2 efficiently supports many other languages ​​such as French, German, Spanish, Italian, Portuguese, Dutch, Russian, Chinese, Japanese, Korean, Arabic, and Hindi.

In benchmarks such as HumanEval, MMLU, and MT Bench, the Mistral Large 2 performed very close to GPT-40, demonstrating significant competitiveness in programming, reasoning, and question-answering tasks.

In addition, Mistral also introduced Pixtral Large – a multimodal AI model integrating image processing capabilities. The model uses a 123 billion-parameter multimodal decoder combined with a 1 billion-parameter vision encoder, enabling the analysis of documents, charts, and natural images.

In addition to AI models, Mistral also released the Le Chat app on Android, iOS, and web platforms. Users can search the internet, create images using Flux models, analyze source code, upload documents, and edit content directly on Canvas completely free of charge.

In the open-source AI field, Mistral is emerging as one of the most notable competitors to commercial AI models.

Llama 3.3 70B

Meta continues to expand its open-source AI ecosystem with Llama 3.3 70B – one of the most powerful modeling languages ​​the company has ever released.

Although Meta's largest model is Llama 3.1 405B with 405 billion parameters, the Llama 3.3 70B version delivers nearly equivalent performance in many tasks such as instruction following, programming, and reasoning, while using only about one-sixth the number of parameters.

This model is text-only. If image processing capabilities are needed, users can opt for the Llama 3.2 90B, a version with integrated vision capabilities.

According to Meta, the Llama 3.3 70B achieves or surpasses the performance of the Llama 3.1 405B on several well-known tests such as GPQA Diamond, HumanEval, and MMLU.

Meta is also reportedly developing Llama 4, along with an AI model specializing in reasoning, to directly compete with OpenAI's most advanced AI models.

Grok 2

Developed by Elon Musk's xAI, Grok 2 launched in August 2024 and quickly became a subject of much controversy.

Grok 2's strengths lie in its contextual inference capabilities and relatively good programming support. However, this model has also been criticized for its almost complete lack of content moderation layers.

According to Elon Musk, Grok 2 was built with the goal of becoming an "extremely honest" AI model, ready to answer almost any question. This means the model can generate content that many other AI chatbots would refuse to provide.

In tests, Grok 2 was able to compose phishing emails without being blocked by the system. Similarly, Grok Image Generator was also criticized for lacking control mechanisms, allowing the creation of deepfake images related to celebrities or public figures.

Despite its good performance, Grok 2 remains one of the most controversial AI models in terms of safety and ethics.

Amazon Nova Pro

In December 2024, Amazon officially introduced its first line of AI-powered platforms called Nova. Nova Pro is the most powerful version in this line.

Nova Pro is a multimodal AI model capable of simultaneously processing text and images, aiming to compete with models such as GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro.

Unlike many popular AI chatbots today, Nova Pro was primarily developed by Amazon for business customers and has not yet been expanded to the general public.

According to the Artificial Analysis Quality Index, Nova Pro ranks only behind Claude 3.5 Sonnet and Gemini 2.0 Flash. Besides its high performance, the model also has a competitive deployment cost, helping businesses significantly reduce their AI usage expenses.

If you're a developer, you can integrate Nova Pro into your application or web service to build high-performance, cost-effective AI solutions for businesses.