InclusionAI releases Ming-3.0-audio-flash model and initial performance comparisons
InclusionAI has released two new audio understanding and speech output models, Ming-3.0-audio-flash and Ming-3.0-audio-tiny, available on Hugging Face. The Ming-3.0-audio-flash model is described as a 126B Mixture-of-Experts (MoE) architecture with 6.5B active parameters, released under an MIT license. Community reports on r/LocalLLaMA highlighted the release and its specifications. Subsequently, OrcaRouter published several articles comparing Ming-3.0-audio-flash against other models, including Gemini 3.8 Live, Gemini Omni 1.1 Flash, and Qwen3.8-Omni-Flash. While the model release and its stated specifications are reported by InclusionAI and community sources, the performance comparisons are provided by OrcaRouter.
6 articles from 2 outlets covered this story. The underlying claim is sourced from a shipped.
What do all outlets agree on?
2 outlets covered “InclusionAI releases Ming-3.0-audio-flash model and initial performance comparisons”. All of them report the following:
- InclusionAI released Ming-3.0-audio-flash
- Model is a 126B MoE with 6.5B active parameters
- Features audio understanding and speech output
- Released under MIT license
- Available on Hugging Face
- Compared against Gemini and Qwen models
Which outlets covered this?
All 6 articles found on this story, grouped by the stance of the piece. Every link goes to the original publisher.