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 high-quality photorealistic images from text prompts using Tongyi-MAI's Z-Image model with Single-Stream Diffusion Transformer (S3-DiT) architecture
Why: Ultra-fast photorealistic generation with superior bilingual text rendering, making it ideal for designs requiring text-in-image accuracy.
Generates high-quality images from text prompts using Alibaba's Tongyi Qianwen 20-billion parameter MMDiT model
Why: Top-performing open-source model with exceptional text rendering and advanced image editing capabilities, optimized for efficient deployment.
Generates high-quality photorealistic images from text prompts using Black Forest Labs' FLUX
Why: Ultra-fast image generation with photorealistic quality, optimized for rapid iteration and professional workflows with minimal hardware requirements.
Generates images with adjustable inference steps and guidance scale using Flux 2 Flex model, featuring enhanced typography and text rendering capabilities
Why: Best control over generation parameters + superior text rendering, making it ideal for projects requiring precise control and accurate text in images.
Generates and edits images with context awareness for better coherence using Flux Kontext model
Why: Context-aware generation for more coherent results, making it superior for image editing and variation tasks requiring consistency.
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.
Publishes the FLUX family of state-of-the-art image generation models including FLUX
Why: Important modern image model family to know and track, representing the cutting edge of open-source image generation.
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 high-quality images from text prompts using Black Forest Labs' Flux 1 schnell (fast) variant
Why: Fastest Flux variant maintaining top-tier quality, perfect for workflows requiring speed without compromising on image fidelity.
Generates high-quality images from text prompts using Black Forest Labs' Flux 1 development version
Why: Development version offering advanced control and experimental features, ideal for developers and power users requiring maximum customization.
Generates photorealistic images from text prompts using Black Forest Labs' Flux model enhanced with Realism LoRA (Low-Rank Adaptation)
Why: Unique photorealistic variant of Flux with LoRA fine-tuning, offering specialized realism capabilities that complement the base Flux models for professional photography-style generation.
Generates images from text prompts using Black Forest Labs' Flux model with LoRA (Low-Rank Adaptation) support for custom style fine-tuning
Why: LoRA-enabled Flux variant offering customizable style fine-tuning, making it ideal for specialized use cases requiring consistent character generation or specific artistic styles.
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.
Baidu ERNIE 4
Why: Leading Chinese LLM with strong multilingual capabilities, open-source availability, and cost-efficient MoE architecture.
GLM-4
Why: Advanced Chinese LLM with strong multilingual capabilities, efficient inference, and comprehensive deployment options.
Hymotion 1
Why: Tencent's cutting-edge open-source text-to-3D motion model with production-ready output and extensive motion category support.