Ant Group
Ming
Ming is Ant Group's full-modal model line. The docs describe Ming as an open-weight full-modal LLM with a unified architecture for text, images, audio and video. Ming-Flash-Omni is positioned as the industry's first open-weight full-modal model at the 100B parameter scale, with capabilities for image-text understanding, video analysis, speech synthesis, image generation and editing. Use cases include multimodal content creation, video summarization, video Q&A and retrieval, voice interaction and image editing.
Quick answers
At a glance
- Overview
- Ant Ling's open-weight full-modal model for text, image, audio and video understanding and generation.
- Best fit
- Teams tracking open Chinese full-modal models across image-text understanding, video analysis, speech synthesis and image generation.
- Trust
- 2/2 sources verified, recently checked · 2026-05-17
- Coverage
- 100/100 · backfill: pricing
Editorial verdict
Best for
Teams tracking open Chinese full-modal models across image-text understanding, video analysis, speech synthesis and image generation.
Avoid if
Avoid selecting it for production before confirming hosted access, model license, modality coverage and inference cost.
Why it matters
Ming is the multimodal branch of Ant Ling and deserves separate tracking from text-only Ling and reasoning-focused Ring.
Pricing
Ming pricing and API availability should be verified from current Ant Ling console and model docs
Payment
Ant Ling API billing where available, Open-source model access where available
Commercial use
Commercial use should follow the current product, API, model license and billing terms.
Privacy
Review prompt, file, media upload, retention and training-use terms before sensitive workloads.
Use-case fit
Full-modal content creation
StrongUse it for image-text mixed content, video script creation, illustration and asset production.
Video and voice understanding
MediumMing covers video summarization, temporal event detection, voice interaction and speech synthesis.
Global user checklist
Model names, quotas, release status, regional access and commercial terms can change quickly; recheck official sources before procurement or production use.
Pros
- - Unified full-modal architecture covers text, images, audio and video
- - Open-source full-modal positioning at 100B parameter scale
- - Covers video analysis, speech synthesis, image generation and editing
Cons
- - Hosted API, pricing and production limits are less explicit than Ling/Ring pricing docs
- - Open-source license and deployment requirements should be checked before commercial use
Decision paths
qwen
mimo-v2-omni
seedream-image
minimax-api
Sources
docs · en · verified 2026-05-17
Documents Ming full-modal model architecture and use cases.
official · en · verified 2026-05-17
Lists Ming as the multimodal model family.