MiniMax H3 Image
MiniMax H3 Image
MiniMax has released an open-source weight image generation model based on H3, H3-Image, which supports text-to-image, reference image generation, and image editing, capable of generating 4096 × 4096 4K images within 10 seconds, and supports up to 16 reference images.
The official provides 4K generation speed, reference image quantity, and pricing range, which can be used to judge the gap between open-source image models and closed-source solutions.
Same story2 other outlets also reported this
- ITHome · AI··First
MiniMax open-sources H3-Image image generation model, 10 seconds to generate 4K images
- MiniMax News··+57 min·Reading now
MiniMax releases open-source image generation model H3-Image
- QbitAI··+44 h 10 min
MiniMax open-source image model H3-Image: Native 4K, supports 16 reference images
Adds:cost of 2 cents per image
In order of publication · later reports are added as they appear · Compared by AI from each outlet’s title and summary

Today, we're releasing MiniMax H3-Image, an open-weight image generation model built on H3. It supports text-to-image generation, reference-based generation, and image editing.
H3-Image can generate a 4K (4096 × 4096) image in under 10 seconds, with rich, realistic details, strong prompt adherence, the ability to understand and work with up to 16 reference image.
Building on H3's pre-training capabilities, we've made improvements across the entire post-training pipeline, from data and reinforcement learning to sampling-step reduction, PE, and deployment optimization.
No single change made the difference. Together, these improvements allow H3-Image to deliver speed, image quality, and prompt adherence at the same time.
Speed: Making 4K Image Generation Practical for Everyday Use
Compared to the more common 1K or 2K outputs, 4K (16MP, 4096 × 4096) images offer significantly more detail.
MiniMax H3-Image can generate a full-resolution 4K image in under 10 seconds, at up to 5× the speed of mainstream alternatives.
This makes 4K image generation practical for everyday creative workflows.

Image Quality: Bringing AI-Generated Images Closer to Reality
H3-Image produces rich, natural details without the overly smooth, artificial look often associated with AI-generated images.From fine textures to subtle visual details, the model delivers a high degree of realism.
We want to further narrow the gap between AI-generated images and the real visual world.
Prompt Adherence: Understanding Creative Intent
High-quality image generation isn't just about producing beautiful images. It's also about accurately capturing and realizing the creator's intent.
H3-Image delivers state-of-the-art prompt adherence among open-weight models, with support for up to 16 reference images.
Open Weights. More to Build.
As with H3, we're releasing H3-Image's model weights.
We want to support open research and give developers and creators the freedom to customize models and build their own tools and workflows.
We hope H3-Image can help narrow the gap between open-weight image models and leading proprietary models.
We look forward to seeing what developers, creators, and researchers build with it.
Availability and Pricing
H3-Image is also available through the MiniMax API Platform, MiniMax Code, and Hailuo AI, providing reliable, high-quality image generation services.
H3-Image's Standard mode is 1.5–2× as fast as mainstream alternatives, while Highspeed mode reaches 3–4× the speed.
Pricing is 50–70% of comparable mainstream offerings, making high-quality image generation more affordable.
For launch week, we're offering 50% off the standard price for image generation requests at 4K resolution and above.

Get started:
- Hugging Face: https://huggingface.co/MiniMaxAI/MiniMax-H3-Image
- API: https://platform.minimax.io/docs/guides/image-generation
- MiniMax Code: https://code.minimax.io/about
We hope H3-Image can be useful in more people's daily work and creative projects. We'll keep building better, more accessible tools to bring AGI to everyone.
Intelligence with Everyone.
Source: MiniMax News · minimax.io