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Model details

Qwen-Omni Turbo

Qwen-Omni Turbo is an omnidirectional multimodal model from Alibaba's Qwen family that accepts four distinct input types—text, images, audio, and video—and generates both text and audio outputs. This broad input-output flexibility positions it as a versatile foundation for applications that require reasoning across heterogeneous media. Rather than limiting users to single-modality interactions, the model can, for example, analyze a video clip alongside a text query and respond with a natural-language explanation or synthesized speech. Tool calling and temperature control capabilities further extend its utility in structured, controllable workflows where developers need to invoke external functions or tune response randomness.

The model serves practical applications where multimodal understanding and generation intersect with real-time interaction needs. Its tool calling support enables the construction of AI agents that can browse, query, or manipulate external systems during conversation. Temperature control allows developers to shift outputs between deterministic and creative modes depending on task requirements. As part of Alibaba's expanding Qwen ecosystem, Qwen-Omni Turbo benefits from the family's ongoing development trajectory and partnerships—such as the recent collaboration with Fireworks AI for optimized production deployment—suggesting continued investment in accessibility and performance at scale.

DevPass (LLM Gateway)qwen-omni-turboqwen

Quick Info

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Provider
DevPass (LLM Gateway)
Model key
qwen-omni-turbo
Release date
Jan 19, 2025
Last updated
Mar 26, 2025
Knowledge cutoff
2024-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.20
Output token cost
$0.80

Limits

Output tokens
2,048 tokens
Context window
32,768 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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