« This 745B-parameter Mixture-of-Experts model aims for complete agentic intelligence with planning, tools, web browsing, and context up to 200K tokens, while being published under an MIT license »
Best AI tools forLLM models
AI models to test and tools to learn how to master them
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« An AI reasoning model that analyzes information before responding with improved accuracy. Benefit from a contextual window of a million tokens, excellent encoding capabilities and high multimodal comprehension »
« A multimodal model that makes images and text much easier to understand. Analyze your visual documents, answer complicated questions and generate detailed descriptions via 3 MLLM models »
« A lightweight multimodal AI model, capable of processing text, image, audio and video on all your devices, even mobile ones. Fast execution, efficient resource management and support for over 140 languages (open-source project). »
« This open-source model combines reasoning, image analysis, and advanced coding into a single tool. Powerful and flexible, it can handle long queries and generate more direct and effective responses. A robust alternative to the best models on the market »
« An LLM model that handles complex reasoning, agents, tools, and long contexts. It adapts to tasks such as chatting, coding, searching, or productivity assistance »
« An open-source multimodal model that outperforms DALL-E 3 in image generation and analysis. Take advantage of an MIT license to freely use its capabilities in your commercial projects »
« A free, open-source MoE model with 1,000 billion parameters, optimized for AI agent, programming and reasoning tasks. It outperforms the best proprietary models (SOTA) »
« An open source language model optimized for advanced reasoning, understanding of long contexts (256K tokens) and efficiency on limited resources. Ideal for search, agentic and multilingual processing »
« An uncensored (open-source) AI model that rivals ChatGPT on mathematical benchmarks. Switch between quick answers and step-by-step hybrid reasoning, with complete transparency of the thought process »
« An open source model with 685 billion parameters offering impressive performance in coding, AI agent deployment, and reasoning. Also offers a low-cost API »
« This open-source model improves contextual efficiency through sparse attention: high benchmark performance, reduced consumption, and speed. Ideal for processing long texts, coding, and research. »
