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ResearchThe Decoder

Qwen3.8-Omni-Flash undercuts Google's Gemini Flash pricing while matching its multimodal benchmarks

Summary

Qwen3.8-Omni-Flash is Qwen's first multimodal model designed for AI agents. It processes audio and video together and independently uses tools to edit vlogs, translate clips, or summarize movies. On audio-video benchmarks, it nearly matches Gemini 3.

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Qwen3.8-Omni-Flash undercuts Google's Gemini Flash pricing while matching its multimodal benchmarks

Qwen3.8-Omni-Flash undercuts Google's Gemini Flash pricing while matching its multimodal benchmarks

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 to edit vlogs, translate short videos, or summarize movies. The context window spans one million tokens. On audio-video tasks, Qwen says it comes close to matching Gemini 3.8 Flash.

Qwen 3.8 Omni Flash performs on par with Gemini Flash 3.8 in multimodal benchmarks but is much more affordable. | Image: Qwen

API pricing sits 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. For 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.

The model is available throughQwen Studio,Qwen Cloud, and theAPI. The open-sourceQwen-MM-Pluginsadd video editing, speaker recognition, PDF video notes, and reusable workflows to agents like Claude Code, Gemini CLI, and Qwen Code.Qwen-Live Harnessenables real-time interaction using a camera and microphone.

Region

Europe

Heat Score

81

Category

Research

Language

en