1M
text, image, video, audio
text
Supported
About this model
Qwen3.8 Omni Flash is a multimodal Qwen3.8 Flash-class model designed for efficient reasoning, coding, agentic workflows, visual understanding, video understanding, and long-context processing. The underlying Qwen3.8 Flash architecture combines Gated DeltaNet with Qwen Sparse Attention and Mixture-of-Experts layers to improve inference efficiency for long-context and agentic workloads. It supports up to a 1M-token context window and multimodal understanding across text, images, and video.
Input modalities
text
Accepted as model input
image
Accepted as model input
video
Accepted as model input
audio
Accepted as model input
Providers
Available routing options for this model through OneInfer.
Input tokens
$0.150 / 1M tokens
Output tokens
$0.470 / 1M tokens
Routing
OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $0.150 / 1M tokens |
| Output tokens | $0.470 / 1M tokens |
| Cached input tokens | $0.016 / 1M tokens |
Performance & Benchmarks
Independent evaluations and live cluster operational metrics
We haven’t measured this model yet. Published academic results are under Academic Evaluations.
API Guide
- 1
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
- 2
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below. - 3
Check your credits
If your balance is too low, before calling the model.
- 4
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl https://api.oneinfer.ai/v1/ula/chat/completions \ -H "Authorization: Bearer $JWT_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "model": "Qwen/Qwen3.8-Omni-Flash", "messages": [ { "role": "user", "content": "Hello!" } ] }'
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