Stable Diffusion 3.5 LargevsStable Diffusion 3
Stability AI vs Stability AI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Stable Diffusion 3.5 Large | Stable Diffusion 3 |
|---|---|---|
| Provider | ||
| Arena Rank | — | — |
| Context Window | N/A (image) | N/A (image) |
| Input Pricing | Free/1M tokens | Free (open)/1M tokens |
| Output Pricing | Free/1M tokens | Free (open)/1M tokens |
| Parameters | 8B | 8B |
| Open Source | Yes | Yes |
| Best For | Open source image generation, customization, fine-tuning | Image generation, art creation, design |
| Release Date | Oct 22, 2024 | Jun 12, 2024 |
Stable Diffusion 3.5 Large
Stable Diffusion 3.5 Large, developed by Stability AI, is an open-source image generation model with 8 billion parameters using the MMDiT (Multimodal Diffusion Transformer) architecture. The model generates high-quality images from text descriptions with excellent prompt adherence, compositional accuracy, and text rendering capabilities. Building on Stable Diffusion 3, it improves image quality, reduces artifacts, and better handles complex multi-element compositions. As an open-weight model, it can be self-hosted, fine-tuned with LoRA adapters, and integrated into custom pipelines without API costs. The model has spawned a massive ecosystem of community-built tools, custom models, and specialized adapters for various art styles and commercial use cases. Stable Diffusion 3.5 Large represents Stability AI's commitment to keeping powerful image generation technology freely accessible to the open-source community.
View Stability AI profile →Stable Diffusion 3
Stable Diffusion 3, developed by Stability AI, is an open-source image generation model with 8 billion parameters using the MMDiT (Multimodal Diffusion Transformer) architecture. The model generates images from text descriptions with improved prompt following, text rendering, and compositional understanding compared to previous Stable Diffusion versions. Its transformer-based architecture replaces the UNet design of earlier versions, enabling better scaling and quality. As a fully open-source model, Stable Diffusion 3 can be self-hosted, fine-tuned, and integrated into custom applications without API costs. It supports various aspect ratios, styles, and resolutions. The model's release expanded the already massive Stable Diffusion ecosystem of community tools, LoRA adapters, and specialized variants. It remains a foundation for accessible AI image generation in both research and commercial applications.
View Stability AI profile →Key Differences: Stable Diffusion 3.5 Large vs Stable Diffusion 3
Stable Diffusion 3.5 Large has 8B parameters vs Stable Diffusion 3's 8B, which affects inference speed and capability.
When to use Stable Diffusion 3.5 Large
- +Your use case involves open source image generation, customization, fine-tuning
When to use Stable Diffusion 3
- +Your use case involves image generation, art creation, design
The Verdict
Stable Diffusion 3.5 Large wins our head-to-head comparison with 2 out of 5 category wins. It's the stronger choice for open source image generation, customization, fine-tuning, though Stable Diffusion 3 holds an edge in image generation, art creation, design.
Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages