Qwen3.8 Omni Flash
qwen/
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.
$0.165 in · $0.517 out per 1M tokens1M contextSep 21, 2026
A typical message: about 500 tokens you send and 500 it writes.
Spec sheet
Published facts from the catalog, billed prices and what we measured here. Anything not measured says so.
Price, billed here
- Input, per 1M tokens
- $0.165provider $0.15
- Output, per 1M tokens
- $0.517provider $0.47
- Cached input, per 1M
- $0.0176provider $0.016
- Margin
- +10%
Context and formats
- Context window
- 1,000,000 tokens
- Longest answer
- 131,072 tokens
- Reads
- text, images, audio, and video
- Makes
- text
- First listed
- 2026-09-21
Measured here, last 7 days
- First token, median
- not measured
- Answered without error
- not measured
Tools and JSON
- Tool calling
- declaredthe provider's claim, not yet measured here
- JSON output
- declaredthe provider's claim, not yet measured here
Price and latency history as JSON: GET /.
About
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,...
In Qwen's words.
Try it here
Measured here
Call it
Use one OpenAI compatible endpoint, this model's id and an am_live_ key from the dashboard. You can also try it in chat first with no key.
curl https://useantimatter.com/v1/chat/completions \
-H "Authorization: Bearer $ANTIMATTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "qwen/qwen3.8-omni-flash", "messages": [{"role": "user", "content": "Hello"}]}'Everything else is in the docs.
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<a href="https://useantimatter.com/planet/qwen/qwen3.8-omni-flash"><img src="https://useantimatter.com/api/badge/price?id=qwen%2Fqwen3.8-omni-flash" alt="Qwen3.8 Omni Flash price on Antimatter" height="28"></a>More from Qwen
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