Google AI Studio records 112,620,020 monthly visits with +2% month-over-month growth and Freemium pricing. Hypit records 110,259 monthly visits with +76.4% growth and Freemium pricing.
Google's rapid prototyping IDE and developer API workbench for building multimodal applications with Gemini models.
Clone any viral video into an editable, repeatable AI workflow
| Dimension / Metric | | |
|---|---|---|
| Official Domain | aistudio.google.com | hypit.ai |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 112.62M (112,620,020) | 110.26K (110,259) |
| MoM Traffic Delta | +2.19M (+2%) | +47.76K (+76.4%) |
| Primary Market & Share | 🇺🇸 United States (11.3%) | 🇨🇳 China (39%) |
| Direct Visits / mo | 60.81M | 56.33K |
| User Rating | 4.8 | 4.3 |
| Supported Platforms | Website | Website |
Google's rapid prototyping IDE and developer API workbench for building multimodal applications with Gemini models.
Allows developers to drop hours of video, multi-track audio files, high-resolution images, entire codebases, and multi-hundred-page PDFs directly into the prompt window with up to 1,000,000 tokens of shared context.
Provides direct access to Google's frontier reasoning and agentic models with granular controls over thinking tokens, temperature, function declarations, and strict JSON schema output validation.
Includes a dedicated `/live` studio interface for testing sub-second, bidirectional voice and screen/camera interactions powered by `gemini-3.8-live`, `gemini-3.8-live-extended-thinking`, and `gemini-3.5-live-translate-preview`.
Connects model responses to live Google Search results and Google Maps geospatial data with a single toggle, including 5,000 free grounded requests per month on Paid tiers before $14/1,000-query metering.
Clone any viral video into an editable, repeatable AI workflow
Rebuilds an entire reference video — faces, dialogue, B-roll, captions and effects — instead of generating isolated clips.
Works with Claude, Codex, or any agent, which handles planning, generation and assembly from a plain-language description.
Edits are tied to the words spoken rather than to timeline seconds, so timing and captions survive script or footage changes.
The core is open source and can be forked, modified and self-hosted, with BYOK support for your own model credentials.
Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.
Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.
One API key for hundreds of AI models from every major provider
Generate, edit, subtitle and dub on-brand videos in one browser workflow
Generate, edit, subtitle and dub on-brand videos in one browser workflow
Agentic online video editor with AI agents that cut, grade, and mix on a real timeline
Agentic online video editor with AI agents that cut, grade, and mix on a real timeline
Zhipu AI's open platform for GLM large models, multimodal APIs, and agent building
Zhipu AI's open platform for GLM large models, multimodal APIs, and agent building
SpecialistClip, caption and publish shorts from any long video
Free / Open-sourceGoogle's family of lightweight, open-weight AI models
Free / Open-sourceGoogle's family of lightweight, open-weight AI models
Your AI creative and production team, from idea to publish
Your AI creative and production team, from idea to publish
SpecialistOne API for 1,500+ production-ready generative media models
AI creative agents for text-to-video, image-to-video, and visual production
AI creative agents for text-to-video, image-to-video, and visual production
AI video agent that plans, generates and edits every scene
AI video agent that plans, generates and edits every scene
SpecialistTogether AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
SpecialistTogether AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
