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.
qwen/qwen3.8-omni-flashOpens in the ewpire workspace. Creating an account is free; runs are paid from your credits.
Qwen3.8 Omni Flash in plain words
Qwen3.8 Omni Flash is a text model from Qwen. It takes text, images, audio, and video as input and returns text. Its context window is 1,000,000 tokens. It costs 0.186177 credits per 1M input tokens and 0.583353 credits per 1M output tokens.
It is good at reasoning through multi-step problems and calling tools. It reads images as well as text. A context window of 1,000,000 tokens holds about 4,000,000 characters of English text, at 4 characters a token.
For example, a question of 2,000 tokens (about 8,000 characters) with an answer of 1,000 tokens (about 4,000 characters) costs 0.000956 credits. The exact charge follows the usage the model reports for your request.
Details
- Made by
- Qwen
- Good at
- ReasoningVisionTool use
- Reads
- Text, Images, Audio, Video
- Produces
- Text
- Context window
- 1,000,000 tokens
Price
- Input, per 1M tokens
- 0.186177 credits
- Output, per 1M tokens
- 0.583353 credits
Charged per request from your credit balance. No subscription. See pricing
In the API – coming soon
API keys are not open yet. The docs show how to call this model with the OpenAI SDK or plain HTTP once they are. Read the docs
curl https://ewpire.com/api/v1/chat/completions \
-H "Authorization: Bearer $EWPIRE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"qwen/qwen3.8-omni-flash","messages":[{"role":"user","content":"Hello!"}]}'The docs show how to list the models the API serves, with their capabilities and prices, once API keys are open. Models in the docs
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