Qwen3.8 Omni Flash
qwen3.8-omni-flash
qwen3.8-omni-flash is available at qwen3.8-omni-flash. Below: prices per channel, specifications and request examples.
Prices per channel
| Channel | Input, per 1M | Output, per 1M | Cache, per 1M |
|---|---|---|---|
| Auto · default qwen3.8-omni-flash | $0.0141 | $0.0437 | $0.0015 |
| Channel 6 qwen3.8-omni-flash:c6 | $0.0004 | $0.001 | $0.0001 |
| Channel 8 qwen3.8-omni-flash:c8 | $0.0141 | $0.0437 | $0.0015 |
Prices per 1M tokens. You pay for what you use. Pick a channel with a suffix: qwen3.8-omni-flash:c6; without one you get the default channel.
Specifications
- Context window
- 1,000,000 tokens
- Max output tokens
- 131,072 tokens
- Image input
- yes
- Reasoning
- yes
- Anthropic format (/v1/messages)
- no
- Data in Russia
- no
Request example
Create a key in the dashboard. Streaming works too: add "stream": true.
curl https://demo-en.alexshkarupa.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "qwen3.8-omni-flash", "messages": [{"role": "user", "content": "Hello!"}]}'from openai import OpenAI
client = OpenAI(base_url="https://demo-en.alexshkarupa.com/v1", api_key="YOUR_KEY")
reply = client.chat.completions.create(
model="qwen3.8-omni-flash",
messages=[{"role": "user", "content": "Hello!"}],
)
print(reply.choices[0].message.content)Questions and answers
How much does qwen3.8-omni-flash cost?
Input is $0.0141 per 1M tokens, output $0.0437 per 1M. You are charged for the tokens actually used, so a single request costs a fraction of a cent. Your balance and spending are in the dashboard.
What is the context window of qwen3.8-omni-flash?
Up to 1,000,000 input tokens and up to 131,072 output tokens.
How do I call qwen3.8-omni-flash?
Set the base URL to https://demo-en.alexshkarupa.com/v1 and use "qwen3.8-omni-flash" in the model field of any OpenAI-compatible client. curl and Python examples are on this page.
How do channels differ?
Channels are independent routes to the same model at different prices. Without a suffix a request takes the default channel; to pin a channel add its number: qwen3.8-omni-flash:c6. A pinned channel never fails over silently: if it is unavailable, the request returns an error.
Is cached input cheaper?
Repeated context is billed at the cache price — $0.0015 per 1M tokens instead of $0.0141.
Does qwen3.8-omni-flash understand images?
Yes, images can be sent along with text.
Does it support reasoning?
Yes, the model supports a reasoning mode; its depth is set by a request parameter.
Other models
Start using qwen3.8-omni-flash in minutes
Sign up by email, create a key in the dashboard, top up your balance without a contract.