
Qwen2.5-Omni-7B
End-to-end omni-modal model: text, image, audio, video in; text and speech out.
About
Qwen2.5-Omni-7B is Alibaba's end-to-end omni-modal model, released March 2025. It accepts text, images, audio, and video and produces real-time text and natural speech, using the Thinker-Talker architecture: a Thinker transformer fuses the modalities and generates text, while a Talker streams speech from the Thinker's hidden states. Time-aligned multimodal RoPE keeps video and audio in sync, and block-wise streaming enables low-latency spoken replies.
Alibaba released it under Apache 2.0 and positioned it as a foundation for cost-effective AI agents, including assistive tech such as real-time audio descriptions for visually impaired users. At 7B parameters it runs on capable edge devices, though Alibaba's own figures show video inference is memory-hungry (tens of GB of VRAM for minute-long clips).
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 9/10
Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 133; Trending score 86/100 from researcher assessment.