Inkling vs Velo
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Velo leads with 667 upvotes
Open weights 975B multimodal model built for fine-tuning
Inkling by Thinking Machines is an advanced open-weights multimodal AI model designed for fine-tuning and versatile AI applications. Boasting a massive 975 billion parameters in a mixture-of-experts (MoE) architecture with 41 billion active parameters, it is capable of understanding and reasoning across text, images, and audio within a 1 million token context. Its open weights allow developers and researchers to customize and optimize the model for specific tasks using tools like Tinker, or to deploy directly with Apache 2.0 licensing. The integration of native reasoning and controllable thinking effort makes Inkling a powerful tool for building sophisticated, multimodal AI solutions. Its open nature and high capacity position it as a significant advancement for those seeking a customizable, high-performance AI model in development, research, or enterprise settings.
Pros
- Massive 975B parameter size enabling deep understanding and reasoning
- Supports multimodal inputs: text, images, and audio
- Open weights for customization and fine-tuning
- Controllable thinking effort for tailored AI responses
- Native reasoning capabilities across multiple data types
Cons
- Likely high computational resource requirements
- Complex setup and fine-tuning process may require advanced expertise
- Limited user interface or out-of-the-box integrations
Best for
- • Developing advanced multimodal AI assistants
- • Custom AI research and experimentation
- • Fine-tuning for domain-specific applications like healthcare or finance
- • Creating AI models capable of reasoning across diverse data types
Pricing: Likely a custom or enterprise pricing model, possibly based on usage, licensing, or support. As an open model, it may be free to download, but operational costs for deployment could vary significantly.
Share anything as video messages
Velo is an innovative AI-powered platform that transforms raw screen recordings into polished, engaging video messages ready for sharing. Designed for professionals, educators, and content creators, Velo simplifies the often time-consuming process of editing and refining screen captures, making it easy to produce professional-looking videos in minutes. Its AI-driven features automatically enhance video quality, add annotations, and streamline the editing process, allowing users to focus on their message rather than technical details. The tool's intuitive interface and smart automation make it accessible for both beginners and experienced users, enabling quick creation of compelling video content suitable for tutorials, product demos, or internal communications. With a focus on productivity and ease of use, Velo stands out by combining powerful AI with seamless sharing capabilities, making video messaging more efficient and effective.
Pros
- AI-powered editing simplifies video creation and enhances quality
- User-friendly interface suitable for all skill levels
- Speeds up the process of turning screen recordings into shareable videos
- Supports quick sharing across multiple platforms
- Automated features reduce editing time
Cons
- Limited customization options compared to traditional video editors
- Features may be less suitable for highly complex or long-form videos
- Dependence on AI may sometimes lead to less control over final edits
Best for
- • Creating quick product demos for onboarding or support
- • Sharing educational tutorials and training videos
- • Internal communication videos for teams or stakeholders
- • Customer support recordings with annotations and highlights
Pricing: Likely operates on a freemium model, offering basic features for free with premium plans available that unlock additional editing tools, higher video quality, or increased sharing options. Exact pricing details are not specified but typically start around $10-$30/month for advanced features.