Mimo V2.5

Built for agents, coding, and long-context tasks, offering more complete multimodal understanding, a million-token context window, and long-horizon reasoning than MiMo V2. Compared with Chinese peers such as Qwen, GLM, and DeepSeek, its strengths are Xiaomi ecosystem fit and engineering automation scenarios.

Built for few-sample voice cloning, with stronger V2.5-series high-fidelity timbre reproduction, voice-character consistency, and cross-text generalization than MiMo V2 TTS. Compared with ElevenLabs, OpenAI TTS, and Azure Speech, it is well suited to Chinese character dubbing, short-video narration, podcast voice replication, and multilingual speech production that needs to preserve a target voice.

Built for one-sentence voice design and text-to-speech, with stronger V2.5-series natural-language voice creation, fine-grained pace/emotion/tone control, and low-friction voice production than MiMo V2 TTS. Compared with ElevenLabs, OpenAI TTS, and Azure Speech, it is useful for reference-free character voice design, ad voiceovers, short-video narration, and multi-style voice exploration.

Built for text-to-speech, voice design, and voice cloning, with stronger V2.5-series natural speech synthesis, fine-grained pace/emotion/tone control, and low-friction voice creation than MiMo V2 TTS. Compared with ElevenLabs, OpenAI TTS, and Azure Speech, it is well suited to Chinese narration, character dubbing, short-video audio, and multilingual voice production.