Best AI tools forLLM models

« The new beta version of the xAI model, which is comparable in size to Grok 4.20 but features an improved architecture and knowledge updated through December 2025, is already being rolled out gradually  »

« The OpenAI model built for long and complicated tasks. It has fewer hallucinations and improved multi-step reasoning. This LLM is great for creating tables, presentations, analyzing long documents, and coding »

« The fastest and most affordable of the Claude 5 models, designed for high-volume tasks such as sorting, summarizing, or extracting information. This LLM prioritizes speed, low costs, and seamless use with browsers or tools »

« Anthropic's premium model for code, agents, and computer use: hybrid reasoning (instant or deep responses), advanced memory management, and execution of long workflows with fewer tokens  »

« This open-source model takes agent-based programming even further with multi-file editing, 256K of context, and the generation of animated front-end interfaces. It also features swarms of up to 300 sub-agents capable of performing tasks continuously  »

« OpenAI's most powerful frontier model directly controls your computer, processes 1 million tokens, and reasons about very long tasks. It is claimed to reduce errors by 33% and significantly improve code and document analysis »

« This version of Grok brings together four professor-level agents who reason together before responding. They correct each other, break down problems, and rely on real-time web search and coding tools to provide more reliable answers »

« Enjoy professional-level intelligence with extreme speed and efficiency (and at a reduced cost). This model uses 30% fewer tokens and is very good at agentic coding  »

« An intermediate model from Anthropic that offers a very good balance between power, cost, and speed. It greatly improves code, follows technical instructions better, and is becoming the default model for everyday uses, from chat to programming »

« Discover Thinking Machines’s first LLM: an open, multimodal model with a context size of up to 1 million tokens. It was designed primarily for code, tool manipulation, and adaptive reasoning (with fine-tuning capabilities via Tinker) »

« Run a 35-billion-parameter MoE model with only 3 billion parameters actually activated, while achieving coding, vision, and reasoning performance on par with much larger models. Optimized for agentic coding, multimodal perception, and very long contexts (up to over a million tokens) »

« This large multimodal model combines text, vision, and interface interaction in a single system, enabling it to understand screenshots, videos, and documents. It can also reason in multiple steps and handle over 200 languages »