# Qwen: Qwen3.8 Omni Flash

Provider: qwen  
Category: llm  
Model ID: `qwen/qwen3.8-omni-flash`

Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...

## Specs

- Context length: 1000000 tokens
- Max output: 131072 tokens
- Modalities: text, image, audio, video
- Released: 2026-09-21

## Pricing

- Input: $0.15 per million tokens
- Output: $0.47 per million tokens

## Providers

- **qwen** — ctx 1000000, input $0.15/M, output $0.47/M

## Verdict

Qwen3.8 Omni Flash is a multimodal model built for teams that need to process text, images, audio, and video in a single request without switching tools. At $0.15/$0.47 per Mtok, it undercuts most multimodal competitors while offering a massive 1M token context window. The trade-off: we lack public benchmark data to validate performance against Claude or GPT-4o on complex reasoning tasks. Reach for this when you need affordable multimodal processing at scale and can validate output quality in your own workflow.

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Last verified: 2026-10-19T02:30:34.239Z  
Canonical URL: https://switchy.build/directory/models/qwen3-8-omni-flash