Qwen3.8-Omni-Flash undercuts Google's Gemini Flash pricing while matching its multimodal benchmarks
Qwen3.8-Omni-Flash matches Gemini Flash on multimodal benchmarks at a fraction of the API cost—another sign the frontier is flattening.
Why it matters
A new multimodal model from Alibaba's Qwen achieves near-parity with Google's flagship on audio-video tasks while undercutting its pricing, intensifying competition in the agent-native model race and raising questions about Google's cost positioning.
The key facts
6 to knowQwen3.8-Omni-Flash is Qwen's first multimodal model designed for AI agents
Processes audio and video together natively
Performs tool use independently (editing vlogs, translating clips, summarizing movies)
Nearly matches Gemini 3.8 Flash on audio-video benchmarks
Significantly lower API pricing than Gemini Flash
Multimodal capability comparison: audio + video processing
Go to the source
The Decoderthe-decoder.com
Publisher excerpt: 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 3.8 Flash at a fraction of the API cost.