DeepSeek is a high-performance large language model developed by DeepSeek AI with strong reasoning capabilities, code generation, and multilingual support
Why: High-performance LLM with competitive capabilities, open-source availability, and cost-effective pricing for research and commercial use.
Llama is Meta AI's open-source large language model family with multiple versions: Llama (February 2023), Llama 2 (July 2023), Llama 3 (April 2024), Llama 3
Why: Meta's flagship open-source LLM with strong performance, extensive model sizes, and permissive licensing for research and commercial use.
Mistral AI provides high-performance large language models with both open-source and commercial offerings
Why: European LLM provider with strong open-source offerings, multilingual capabilities, and focus on data privacy and compliance.
Qwen is Alibaba Cloud's family of large language models with multiple versions: Qwen-1
Why: Alibaba's high-performance multilingual LLM with strong Chinese language support, cost-efficient pricing, and comprehensive open-source availability.
Microsoft Phi is a family of small, efficient language models designed for high performance with minimal parameters
Why: Microsoft's efficient small language models with strong reasoning capabilities, MIT licensing, and optimized for resource-constrained environments.
Gemma is Google DeepMind's family of open-source large language models, serving as lightweight versions of Gemini
Why: Google's open-source LLM family with strong performance, permissive licensing, and specialized variants for vision and medical applications.
DBRX is a mixture-of-experts transformer model developed by Databricks and Mosaic ML
Why: Databricks' high-performance open-source LLM with strong benchmark results, efficient MoE architecture, and permissive licensing.
Generates high-quality videos with motion diversity from images using Wan 2
Why: Open-source + LoRA customization for advanced users who need fine-tuned control and self-hosting capabilities.
High-quality image-to-video generation from Tencent using open-source Hunyuan Video models
Why: Strong open-source option with good quality, making it ideal for self-hosting and customization workflows.
Generates images from text with open-source flexibility and community support using Stable Diffusion 3
Why: Open-source standard with extensive customization options, making it the foundation for many custom image generation workflows.
Microsoft TRELLIS generates high-quality 3D models from text prompts or reference images using a unified Structured LATent (SLAT) representation
Why: Microsoft's state-of-the-art 3D generation model with best-in-class quality for both text-to-3D and image-to-3D workflows. Open-source availability and NVIDIA integration make it ideal for professional 3D asset creation.
Turns images into 3D meshes using Meta's Segment Anything 3D model
Why: Meta's research-grade 3D reconstruction with segmentation capabilities.
Generates 3D objects from text prompts or images using OpenAI's Shap-E model, a conditional generative model for 3D assets
Why: OpenAI's open-source 3D generation model with comprehensive documentation and active community, representing state-of-the-art conditional 3D asset generation from text and images.
Generates 3D point clouds from text prompts using OpenAI's Point-E model, a fast and efficient approach to 3D generation
Why: OpenAI's efficient point cloud generation model offering fast inference times, complementing Shap-E for workflows prioritizing speed over mesh quality in early-stage 3D concept exploration.
Generates high-quality 3D NeRF (Neural Radiance Field) representations from text prompts using score distillation sampling, a technique that leverages pre-trained 2D diffusion models for 3D generation
Why: Pioneering NeRF-based text-to-3D generation using score distillation, representing a significant advancement in 3D content creation from text without requiring 3D training datasets.
Generates high-quality 3D meshes with textures from images or text using NVIDIA's Get3D model, a generative model that produces detailed 3D triangular meshes with high-resolution textures
Why: NVIDIA's state-of-the-art 3D mesh generation model producing high-quality textured meshes with proper topology, ideal for production workflows requiring game-ready 3D assets.
Generates 3D models from single images using Zero-1-to-3, a model that learns to generate novel views of objects from a single input image
Why: State-of-the-art view-consistent image-to-3D generation model with strong geometric understanding, enabling high-quality 3D reconstruction from single images.
Generates 3D models from single images using Instant3D, a fast and efficient approach to image-to-3D conversion
Why: Fast and efficient image-to-3D generation model offering rapid 3D mesh creation from single images, ideal for workflows prioritizing speed and iteration.