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The Decoder·Matthias Bastian·Sep 19, 2026, 2:30 PM

Qwen3.8-Omni-Flash Matches Gemini Flash on Multimodal Benchmarks at a Fraction of the Cost

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

Models83

Qwen has introduced Qwen3.8-Omni-Flash, its first multimodal model tailored for autonomous agent tasks. Capable of simultaneous audio-video processing and native tool use, it automates workflows like vlog editing, clip translation, and long-form video summarization. Benchmark results place its audio-visual capabilities in close competition with Gemini 3.8 Flash while undercuting its API pricing, underscoring the rapid decline in multimodal inference expenses.

Why it's worth reading

It represents a notable cost reduction for audio-visual agent workflows, bringing continuous multimodal perception much closer to widespread commercial viability.

Tags

QwenMultimodalAI AgentsGemini FlashAPI PricingAudio VideoOpen Source

Score breakdown

  • Novelty78
  • Impact84
  • Practicality88
  • Credibility80
  • Timeliness85