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Open weightsAlibaba Cloud (Qwen Team)/10 trustVerified
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Qwen2.5-Omni-7B

End-to-end omni-modal model: text, image, audio, video in; text and speech out.

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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

Open weights

Released

March 26, 2025

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

voice-agentsvideo-understandingspeech-synthesismultimodal-assistants

Trust score — 9/10

/10 trustVerified

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.

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