Tools that translate between human languages. 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.
Updated 6/14/2026
Whisper is an automatic speech recognition (ASR) system developed by OpenAI. It is a state-of-the-art model trained on a large dataset of diverse audio to perform tasks such as multilingual speech recognition, speech translation, and language identification. Whisper is designed to be robust to accents, background noise, and technical language. It is available as an open-source model, allowing developers to integrate it into applications for transcription, translation, and other speech-related tasks.
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).
Nemotron-3-120B-Super is a large language model (LLM) developed by NVIDIA, featuring 120 billion parameters. It is part of the Nemotron-3 family of models designed for high-performance text generation, synthetic data generation, and enterprise applications. The model is optimized for use in data centers and cloud environments, leveraging NVIDIA's advanced GPU infrastructure. It supports a wide range of natural language processing (NLP) tasks, including but not limited to text generation, summarization, translation, and code generation. Nemotron-3-120B-Super is particularly notable for its use in generating synthetic data to train other AI models, which can help address data scarcity and privacy concerns in AI development. NVIDIA Nemotron-3-Super-120B-A12B-BF16 is a 120B-parameter (12B active) Latent Mixture-of-Experts (LatentMoE) hybrid model (Mamba-2 + MoE + Attention) with Multi-Token Prediction (MTP). It is optimized for agentic workflows, long-context reasoning (up to 1M tokens), tool use, and RAG, and is commercially usable under the NVIDIA Nemotron Open Model License. The model excels in math, code, science, and multilingual tasks, and is designed for high-volume workloads like IT ticket automation.
Mistral Large 2 is a text AI model developed by Mistral AI. This latest performance model is based on Mistral-Large-2411. The model is licensed under Mistral AI Research License. Released in 2023-09. Dense LLM trained by Mistral AI.
Jasper (formerly known as Jarvis) is an AI-powered writing assistant. It leverages large language models to generate marketing copy, blog posts, social media content, emails, and other written materials. Jasper is tailored for enterprises and content creators, offering features like brand voice customization, SEO optimization, and multi-language support. It integrates with various platforms such as Google Docs, WordPress, and SurferSEO to streamline content workflows.
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.
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.
Microsoft Copilot for Microsoft 365 is an AI-powered productivity tool integrated into Microsoft 365 applications (e.g., Word, Excel, PowerPoint, Outlook, Teams). It leverages large language models (LLMs) and Microsoft Graph data to assist users with tasks such as drafting documents, analyzing data, generating presentations, summarizing emails, and automating workflows. Copilot is designed to enhance productivity by providing context-aware suggestions, content generation, and intelligent automation within the Microsoft 365 ecosystem. It also includes enterprise-grade security and privacy controls to comply with organizational policies.
Hunyuan is a text AI model developed by Tencent. This latest performance model is based on Hunyuan-7B-Pretrain. The model is licensed under Tencent Hunyuan Community License Agreement. Released in 2025-07. Dense model by Tencent.
Omnilingual ASR is a text AI model developed by Meta. This latest performance model is based on Omnilingual ASR. The model is licensed under Apache and CC-BY-4.0. Released in 2025-11. Model for automatic speech recognition (ASR) and speech translation by Meta
We give every AI a score out of 100 based on how much it shares about itself. We look at five things:
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.
