Qwen
In this report, we present Qwen2. 5-Omni, an end-to-end multimodal model designed to perceive diverse modalities, including text, images, audio, and video, while simultaneously generating text and natural speech responses in a streaming manner.
25.5
Quality Score
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Arena ELO
6B
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
17 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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Apr 2025
Released
4/5 signals
3/4 signals
3/5 signals
3/4 signals
4/4 signals
Parameters
3B
Training compute
Not reported
Dataset scale
Not reported
Base model
Qwen2.5-3B
Source-reported access: Open weights (non-commercial) · Confident confidence
Gaps we are still tracking
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.