Qwen3.8-Omni-Flash undercuts Google's Gemini Flash pricing while matching its multimodal benchmarks
Qwen launches Qwen3.8-Omni-Flash, a multimodal agent model priced far below Google's Gemini 3.8 Flash with similar benchmark performance.
Qwen3.8-Omni-Flash is Qwen's first multimodal model built for AI agents, jointly processing audio and video with tool use for tasks like vlog editing and movie summarization. It offers a one-million-token context window, and Qwen claims it roughly matches Gemini 3.8 Flash on multimodal benchmarks. API pricing is $0.15 per million input tokens and $0.47 per million output tokens, versus Gemini 3.8 Flash's introductory $0.75 input and $3.75 output rates. The model is available via Qwen Studio, Qwen Cloud, and the API, with open-source Qwen-MM-Plugins and a Qwen-Live Harness for real-time camera and microphone interaction.
- First Qwen multimodal model designed specifically for autonomous AI agents
- One-million-token context window with joint audio-video processing
- Undercut pricing: $0.15/$0.47 per million tokens vs Gemini Flash $0.75/$3.75
- Qwen-MM-Plugins add video editing and speaker recognition to Claude Code and Gemini CLI
- AI models
- Qwen3.8-Omni-FlashGemini 3.8 Flash
From the original article
1 min read at the-decoder.com
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.
By Matthias Bastian · the-decoder.com
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