Best AI tools forLLM models

« An LLM expert in coding, research, writing, and translation on 200k tokens. High-performing in agentics, it automates your tasks, generates presentations, and adapts the tone according to the context (professional or creative)  »

« A multimodal AI model that analyzes text, images and short videos in over 140 languages. Benefit from exceptional performance on a single GPU and great flexibility for developing applications on mobile or cloud platforms »

« Chat with local LLM language models like Llama2, Mixtral or Code Llama. Compatible with macOS, Linux and soon Windows »

« An advanced multimodal model capable of processing text, images, audio and video simultaneously. Benefit from real-time generation of text and voice responses »

« A multimodal language model that outperforms GPT-4 and DeepSeek on major benchmarks. Benefit from an optimized MoE architecture that reduces computing costs by 30% while maintaining outstanding performance »

« This open-source 400B-parameter model thinks before responding to handle long and complex prompts. It ranks just behind Claude Opus 4.6 on PinchBench and costs 96% less (Apache 2.0 license)  »

« An open-source model optimized for autonomous coding that rivals Claude Sonnet 4.5 while costing 10 times less. Specialized in multilingual coding, tool usage, and long-horizon planning »

« This open-weight model, with 754 billion parameters, is designed for long and complex engineering tasks: it can operate autonomously for up to 8 hours straight, from planning through to final delivery. As the world’s first open-source model on WE-Bench Pro and NL2Repo, it rivals Claude Opus 4.6 in code quality  »

« The first model developed by Meta Superintelligence Labs, built from scratch in nine months and natively multimodal (text, image, voice). Its “Contemplating” mode coordinates multiple sub-agents in parallel and is already powering Meta AI on Facebook, Instagram, and WhatsApp »

« A free and open source conversational ChatBot, produced by the company Hugging Face. Similar to ChatGPT »

« Build specialized AI agents with a family of open-source models optimized for multi-agent systems, hybrid MoE, and with context up to 1M tokens. Enjoy 4x higher throughput than Nemotron 2 Nano. »

« Power up your code agents with a 128-billion-parameter model featuring a 256,000-token context window, which excels at coding, reasoning, and following instructions. This model requires only 4 GPUs to run and achieves a score of 77.6% on SWE-Bench Verified »