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 7/29/2026
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).
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.