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Chatbots & Virtual Assistants

Conversational AI for customer or general-purpose use. The ones at the top tell you the most about how they work — what they were trained on, where your data goes, and who built them.

Top 10 of 28

Updated 7/30/2026

  • 1
    ChatGPT· OpenAI

    ChatGPT is a generative artificial intelligence chatbot developed by OpenAI.

    95%
  • 2
    Gemini· Google DeepMind

    Gemini is a family of multimodal large language models developed by Google DeepMind, serving as the successor to LaMDA and PaLM 2. It is designed to process and generate text, code, images, audio, and video, enabling advanced reasoning, problem-solving, and task automation across diverse domains. Gemini models are available in different sizes (Ultra, Pro, Nano) to cater to various use cases, from enterprise applications to on-device processing. The models are integrated into Google's ecosystem, including Google Cloud, AI Studio, and consumer products like Bard (now rebranded as Gemini).

90%
  • 3
    Devstral Small 2 (24B)· Mistral AI

    Devstral Small 2 (24B) is a large language model (LLM) developed by Mistral AI, designed for advanced text generation, coding assistance, and problem-solving tasks. It is part of the Devstral family of models, optimized for efficiency and performance in enterprise and developer applications. The model is tailored for tasks such as code generation, debugging, natural language understanding, and technical documentation creation. It is positioned as a smaller, more accessible version of Mistral AI's larger models, making it suitable for deployment in environments with computational constraints.

    90%
  • 4
    C4AI Command A (03-2025)· Cohere

    C4AI Command R+ (03-2025) is a large-scale, advanced language model developed by Cohere For AI. It is part of the Command R series, designed for enterprise-grade applications requiring high performance in reasoning, multilingual capabilities, and tool use. The model is optimized for retrieval-augmented generation (RAG) and workflow automation, making it suitable for complex business tasks such as customer support, content generation, and data analysis. It supports multiple languages and is built to handle long-context tasks efficiently.

    85%
  • 5
    Lyra 2.0· NVIDIA

    Lyra 2.0 is a cutting-edge framework designed to generate persistent, explorable 3D worlds from a single image. It advances the state of the art in single-image 3D scene generation by enabling scalable, spatially persistent scene generation with real-time rendering capabilities.

    85%
  • 6
    AnoveAI· Anove International

    AnoveAI is an AI-powered platform designed to assist businesses in automating customer support, enhancing engagement, and providing data-driven insights. It leverages natural language processing (NLP) and machine learning to deliver conversational AI solutions, including chatbots, virtual assistants, and automated response systems. The platform is tailored for industries such as e-commerce, healthcare, and finance, aiming to improve operational efficiency and customer satisfaction.

    80%
  • 7
    Juvoly J1· Juvoly

    Experimental model for clinical reasoning. Fine-tuned on 100B tokens of synthetic PubMed data (CC-BY licensed). Intended for research and testing only—not for clinical use without validation.

    75%
  • 8
    Qwen2.5-7B-Instruct· Alibaba

    Qwen2.5-7B-Instruct is a large language model (LLM) developed by Alibaba Cloud's Qwen team. It is part of the Qwen2.5 series, which includes models of varying parameter sizes (ranging from 0.5B to 72B). The 7B-Instruct variant is specifically fine-tuned for instruction-following tasks, making it suitable for conversational AI, code generation, text summarization, and other natural language processing (NLP) applications. The model is designed to be efficient, multilingual, and capable of handling complex prompts with high accuracy. It supports extended context lengths (up to 128K tokens) and is optimized for both research and commercial use.

    75%
  • 9
    Claude 3 Opus· Anthropic

    Claude 3 Opus is the most powerful model in the Claude 3 family, released by Anthropic in March 2024. It excels in complex reasoning, advanced coding, nuanced understanding, and multimodal tasks (e.g., analyzing images, documents, and charts). The model is optimized for high-stakes, high-impact applications and demonstrates state-of-the-art performance on benchmarks like MMLU, GPQA, and human preference evaluations. Claude 3 Opus was trained on a proprietary mix of publicly available internet data (up to August 2023), private datasets, and internally generated data. It underwent RLHF (Reinforcement Learning from Human Feedback) and Constitutional AI fine-tuning to align with principles like helpfulness, honesty, and harmlessness. The model is multimodal (text and vision) and multilingual. Safety evaluations show strong alignment, with low rates of harmful outputs and high resistance to jailbreaks. It was deployed under AI Safety Level 2 (ASL-2) protections.

    70%
  • 10
    Grok-1.5· xAI

    Grok-1.5 is an advanced large language model developed by xAI, designed to provide real-time knowledge and reasoning capabilities. It is positioned as a competitor to models like GPT-4 and Claude, with a focus on humor, wit, and direct access to platform data (e.g., X/Twitter). Grok-1.5 includes improvements in reasoning, particularly for coding and math-related tasks, and supports longer context understanding (up to 128,000 tokens). It is integrated into the X platform and available to Premium+ subscribers. The model is built to handle complex queries, generate creative content, and provide insights with a rebellious streak, as described by xAI.

    70%
  • How we picked these +−

    We give every AI a score out of 100 based on how much it shares about itself. We look at five things:

    • Who else is involved — does it tell you which other companies handle your data?
    • Rules it follows — has it been checked against laws and standards?
    • What it tells users — does it have a clear privacy policy, terms, and security promises?
    • How it works — does it explain what it was trained on and how it was built?
    • Doing the right thing — does it have rules about safe and fair use?

    An AI has to share at least half of this to make the list. We rank by score. If two AIs tie, the more popular one wins. Each company can only show up once per list.

    We get this information from what companies share publicly, the EU Open Source AI Index, and our own catalogue. Nobody pays to be on this list.