Qwen: Qwen3.8 Omni Flash

1 provider live

qwen/qwen3.8-omni-flash

→

1 live provider
98.6% uptime
2.07 s first token
78 tok/s output

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, video editing and production workflows, audio-video dialogue, coding, knowledge work, and GUI interaction, and it is particularly strong at long-form multimedia tasks that combine speech, sound, and visual context. It also supports two-channel and four-channel spatial audio understanding.

Context: 1M; tokens
Max output: 128K; tokens
Input: $0.15; per million tokens
Output: $0.47; per million tokens

Providers

Ranked by price and speed. Requests go to the best healthy provider, then fail over down the list.

#	Provider	Input	Output	Cache read	Latency	Throughput	Uptime (3d)
1	AlibabaNon-EU Data policy not declared	$0.15	$0.47	$0.016	2.07 s	78 tok/s	98.6%

Want to serve this model?Become a provider

Price history

No price changes since Oct 20, 2026.

Alibaba$0.15 in, $0.47 out

Performance

Last 24 hours, from llm.buzz's test requests

Throughput (tok/s)

Alibaba78 tok/s

Data table

Provider	From (UTC)	p50	p90	p99
Alibaba	Oct 26, 08:00	78 tok/s	78 tok/s	78 tok/s
Alibaba	Oct 26, 12:00	78 tok/s	78 tok/s	78 tok/s
Alibaba	Oct 26, 17:00	78 tok/s	78 tok/s	78 tok/s
Alibaba	Oct 26, 21:00	78 tok/s	78 tok/s	78 tok/s
Alibaba	Oct 27, 01:00	93 tok/s	93 tok/s	93 tok/s
Alibaba	Last 24 hours	78 tok/s	78 tok/s	78 tok/s

Latency (time to first token)

Alibaba2.07 s

Data table

Provider	From (UTC)	p50	p90	p99
Alibaba	Oct 26, 08:00	1.72 s	1.72 s	1.72 s
Alibaba	Oct 26, 12:00	2.98 s	2.98 s	2.98 s
Alibaba	Oct 26, 17:00	1.72 s	1.72 s	1.72 s
Alibaba	Oct 26, 21:00	2.07 s	2.07 s	2.07 s
Alibaba	Oct 27, 01:00	3.57 s	3.57 s	3.57 s
Alibaba	Last 24 hours	2.07 s	3.57 s	3.57 s

Uptime

Last 72 hours, by hour

Best provider 98.6%

This model

Alibaba

Up: 95% or more served
Degraded: 85% to 95%
Down: below 85%
No data
From llm.buzz's test requests

Questions

How much does Qwen: Qwen3.8 Omni Flash cost?

Qwen: Qwen3.8 Omni Flash costs $0.15 per million input tokens and $0.47 per million output tokens at Alibaba, the provider requests go to first, with cache reads at $0.016 per million tokens.

Do providers train on my prompts?

Each provider declares it, and the table above shows every declaration. You can limit a request to providers that keep nothing, or to providers in the EU.

Can I serve Qwen: Qwen3.8 Omni Flash myself?

Yes. Apply as a provider, add your endpoint and list this model at your price. It goes live once the automated check passes.

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Call it

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.llm.buzz/api/v1",
    api_key=os.environ["LLM_BUZZ_KEY"],
)
reply = client.chat.completions.create(
    model="qwen/qwen3.8-omni-flash",
    messages=[{"role": "user", "content": "Hello"}],
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.llm.buzz/api/v1",
  apiKey: process.env.LLM_BUZZ_KEY,
});
const reply = await client.chat.completions.create({
  model: "qwen/qwen3.8-omni-flash",
  messages: [{ role: "user", content: "Hello" }],
});

curl https://api.llm.buzz/api/v1/chat/completions \
  -H "Authorization: Bearer $LLM_BUZZ_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen/qwen3.8-omni-flash",
       "messages": [{"role": "user", "content": "Hello"}]}'

Endpoints

POST /api/v1/chat/completionsPOST /api/v1/responsesPOST /api/v1/messages

Authentication

Send your llm.buzz key as a Bearer token: Authorization: Bearer $LLM_BUZZ_KEY. Create keys in the console. The same key calls every model; each request pays the price of the provider that answered it.

More in Authentication and the API reference.

Call Qwen: Qwen3.8 Omni Flash with one keyEach request pays the price of the provider that answered it.

Get API key