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Model details

Qwen3-Omni Flash

Qwen3-Omni Flash represents Alibaba's push toward unified multimodal intelligence, designed to accept text, images, audio, and video as input within a single processing framework while producing both text and audio outputs. The "Omni" designation signals an ambition beyond simple multimodality—it's built to reason across these modalities together rather than treating them as separate pipelines. This positions the model for applications where real-time understanding of visual, auditory, and textual information must inform coherent responses, such as interactive AI assistants, multimedia content analysis, or systems requiring fluid cross-modal reasoning.

As a member of the Qwen3 family, Qwen3-Omni Flash carries forward the reasoning capabilities and tool-use infrastructure established in that lineage, enhanced for simultaneous audio and video comprehension. The model includes native tool calling and temperature control, giving developers fine-grained steering over output variability for different task requirements. Its practical strength lies in handling the full multimodal loop—from receiving a video clip or spoken query to generating articulate text summaries or natural audio responses—making it well-suited for customer service automation, educational platforms, or any workflow that benefits from processing heterogeneous media inputs consistently.

Alibaba (China)qwen3-omni-flashqwen

Quick Info

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Provider
Alibaba (China)
Model key
qwen3-omni-flash
Release date
Sep 15, 2025
Last updated
Sep 15, 2025
Knowledge cutoff
2024-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.058
Output token cost
$0.23

Limits

Output tokens
16,384 tokens
Context window
65,536 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Qwen3-Omni Flash

Alibaba (China)

CoverageBenchmark

On September 22, 2025, Alibaba's Qwen team announced Qwen3-Omni, a natively omni-modal foundation model that processes text, images, audio, and video and can respond in real time via text and audio output. According to the supplied excerpt, the model understands text in 119 languages, audio input in 19 languages, and c The team released benchmark results for two variants, Qwen3-Omni-Flash and Qwen3-Omni-30B-A3B, with the excerpt stating that Qwen3-Omni-Flash scored on par with or better than GPT-4o and Gemini-2.5-Flash across the published tests, while the 30B-A3B variant outscored GPT-4o on most benchmarks. Model artifacts are hoste

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