Inkling vs Velo 3.0
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Velo 3.0 leads with 681 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.
AI video infrastructure to explain, train, and sell faster.
Velo 3.0 is an innovative AI-powered video infrastructure platform designed to streamline the creation of engaging, informative videos for training, explaining, and selling. It enables users to start with a simple screen recording or prompt, and then leverages AI to generate a complete video, including scripting, narration in the user's voice, and editing. Its ability to stay grounded in company-specific knowledge by connecting to documents and tools makes it ideal for corporate training and sales content. The platform's standout feature is its ease of use—users can edit videos by typing changes and localize content into over 25 languages with a single click, making it perfect for global teams. Velo 3.0 aims to reduce production time and costs while maintaining a high-quality, personalized output, making professional video production accessible to non-experts and teams seeking rapid content deployment.
Pros
- Automated scriptwriting, narration, and editing in one platform
- Supports localization into 25+ languages with one click
- Easy to use with simple text-based editing
- Grounded in company knowledge through integrations and connectors
- Ideal for fast-paced training, sales, and marketing videos
Cons
- Features and capabilities may be limited for highly complex video projects
- Dependent on AI accuracy; may require manual adjustments for perfection
- Pricing details are not explicitly provided, which could impact budgeting decisions
Best for
- • Creating onboarding and training videos for new employees
- • Generating product demos and explainer videos for sales teams
- • Localizing marketing content for international markets
- • Producing quick updates or announcements within organizations
Pricing: Likely operates on a subscription model with tiered plans, possibly including a freemium option or pay-as-you-go pricing, though specific details are not publicly confirmed.