Audio, video, and tool use in a single model at a price well below the headline multimodal competitor. Qwen has released Qwen3.8-Omni-Flash, a multimodal model that processes audio and video together, draws conclusions, and calls tools on its own to edit vlogs, translate short videos, or summarize movies, with a one million token context window.
How it performs on multimodal benchmarks
On audio-video tasks, Qwen reports that the new model comes close to matching Gemini 3.8 Flash, Google’s multimodal counterpart. The two models perform on par in those benchmarks, according to Qwen’s published numbers.
What it costs to run
The pricing gap is where the two models diverge. Qwen API pricing is set at $0.15 per million input tokens and $0.47 per million output tokens. Qwen estimates audio input at under $0.01 per hour, while 720p video with audio at one frame per second runs about $0.20, not counting response costs.
By comparison, Gemini 3.8 Flash charges $0.75 for input and $3.75 for output per million tokens at its introductory rate, with prices set to double on January 1, 2027. That makes Qwen’s listed input price roughly one fifth of Gemini’s and its output price roughly one eighth, before Gemini’s scheduled increase.
Where the model is available
Qwen3.8-Omni-Flash is available through Qwen Studio, Qwen Cloud, and the API. Qwen also published open-source companion tools. Qwen-MM-Plugins add video editing, speaker recognition, PDF video notes, and reusable workflows to agents including Claude Code, Gemini CLI, and Qwen Code. A separate Qwen-Live tool allows real-time interaction through a camera and microphone.
What the release means in practice
A multimodal model that matches a flagship competitor on audio-video tasks, accepts a one million token context, and ships with open plugins for popular coding agents gives builders a lower-cost path for video understanding, audio transcription, and tool-driven media workflows. The scheduled Gemini price increase widens that gap further for any team running these workloads at scale.
FAQ
What is Qwen3.8-Omni-Flash?
Qwen3.8-Omni-Flash is Qwen’s first multimodal model built for AI agents. It processes audio and video together, draws conclusions, and uses tools on its own for tasks such as editing vlogs, translating short videos, and summarizing movies, with a one million token context window.
How does it compare to Gemini 3.8 Flash on benchmarks?
On audio-video tasks, Qwen reports that Qwen3.8-Omni-Flash comes close to matching Gemini 3.8 Flash, with the two performing on par in multimodal benchmarks according to Qwen’s published numbers.
How much cheaper is it than Gemini 3.8 Flash?
Qwen lists input at $0.15 per million tokens and output at $0.47 per million tokens. Gemini 3.8 Flash charges $0.75 for input and $3.75 for output per million tokens at its introductory rate, with prices set to double on January 1, 2027. Qwen also estimates audio input at under $0.01 per hour and 720p video with audio at one frame per second at about $0.20, not counting response costs.
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