Qwen: Qwen3.8 Flash

4 providers live

qwen/qwen3.8-flash

4 live providers
100% uptime
1.20 s first token
78 tok/s output
25% off

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.

Context: 1M; tokens
Max output: 128K; tokens
Input: ~~$0.15~~ $0.1125; per million tokens, 25% off
Output: ~~$0.47~~ $0.3525; per million tokens, 25% off

Providers

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

Live providers of Qwen3.8 Flash, in the router's order
Who answers now	Input per 1M	First token
llm.buzz25% offpicked	~~$0.15~~ $0.1125	3.57 s
Novita	$0.15	1.20 s
Alibaba	$0.15	1.44 s
Prime Intellect	$0.225	1.44 s

llm.buzz answers now: lowest price.

First token is the 24-hour median. If the pick fails, the next one answers at its own price.

#	Provider	Input	Output	Cache read	Latency	Throughput	Uptime (3d)
1	llm.buzzAuto25% offNon-EU Data policy not declared	~~$0.15~~ $0.1125	~~$0.47~~ $0.3525	~~$0.016~~ $0.012	3.57 s	78 tok/s	93%
2	NovitaNon-EU Data policy not declared	$0.15	$0.47	$0.016	1.20 s	78 tok/s	100%
3	AlibabaNon-EU Data policy not declared	$0.15	$0.47	$0.016	1.44 s	65 tok/s	98.6%
4	Prime IntellectNon-EU Data policy not declared	$0.225	$0.705	n/a	1.44 s	78 tok/s	100%

Want to serve this model?Become a provider

Price history

Input price since Oct 20, 2026, in USD per million tokens. The history shows prices before discounts.

Alibaba
Prime Intellect
Novita

Data table

Provider	From	Input	Output
Alibaba	Oct 20, 2026	$0.15	$0.47
Prime Intellect	Oct 21, 2026	$0.23	$0.70
Prime Intellect	Oct 21, 2026	$0.225	$0.705
Novita	Oct 21, 2026	$0.15	$0.47

Performance

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

Throughput (tok/s)

llm.buzz78 tok/s
Novita78 tok/s
Alibaba65 tok/s
Prime Intellect78 tok/s

Data table

Provider	From (UTC)	p50	p90	p99
llm.buzz	Oct 26, 05:00	54 tok/s	54 tok/s	54 tok/s
llm.buzz	Oct 26, 10:00	78 tok/s	78 tok/s	78 tok/s
llm.buzz	Oct 26, 19:00	78 tok/s	78 tok/s	78 tok/s
llm.buzz	Oct 26, 23:00	93 tok/s	93 tok/s	93 tok/s
llm.buzz	Oct 27, 03:00	65 tok/s	65 tok/s	65 tok/s
llm.buzz	Last 24 hours	78 tok/s	54 tok/s	54 tok/s
Novita	Oct 26, 06:00	54 tok/s	54 tok/s	54 tok/s
Novita	Oct 26, 11:00	65 tok/s	65 tok/s	65 tok/s
Novita	Oct 26, 15:00	65 tok/s	65 tok/s	65 tok/s
Novita	Oct 26, 20:00	93 tok/s	93 tok/s	93 tok/s
Novita	Oct 27, 00:00	78 tok/s	78 tok/s	78 tok/s
Novita	Oct 27, 04:00	78 tok/s	78 tok/s	78 tok/s
Novita	Last 24 hours	78 tok/s	54 tok/s	54 tok/s
Alibaba	Oct 26, 05:00	65 tok/s	65 tok/s	65 tok/s
Alibaba	Oct 26, 09:00	65 tok/s	65 tok/s	65 tok/s
Alibaba	Oct 26, 13:00	65 tok/s	65 tok/s	65 tok/s
Alibaba	Oct 26, 18:00	78 tok/s	78 tok/s	78 tok/s
Alibaba	Oct 26, 23:00	65 tok/s	65 tok/s	65 tok/s
Alibaba	Last 24 hours	65 tok/s	65 tok/s	65 tok/s
Prime Intellect	Oct 26, 06:00	65 tok/s	65 tok/s	65 tok/s
Prime Intellect	Oct 26, 10:00	78 tok/s	78 tok/s	78 tok/s
Prime Intellect	Oct 26, 14:00	78 tok/s	78 tok/s	78 tok/s
Prime Intellect	Oct 26, 19:00	93 tok/s	93 tok/s	93 tok/s
Prime Intellect	Oct 26, 23:00	93 tok/s	93 tok/s	93 tok/s
Prime Intellect	Oct 27, 03:00	78 tok/s	78 tok/s	78 tok/s
Prime Intellect	Last 24 hours	78 tok/s	65 tok/s	65 tok/s

Latency (time to first token)

llm.buzz3.57 s
Novita1.20 s
Alibaba1.44 s
Prime Intellect1.44 s

Data table

Provider	From (UTC)	p50	p90	p99
llm.buzz	Oct 26, 05:00	2.98 s	2.98 s	2.98 s
llm.buzz	Oct 26, 10:00	4.29 s	4.29 s	4.29 s
llm.buzz	Oct 26, 19:00	3.57 s	3.57 s	3.57 s
llm.buzz	Oct 26, 23:00	6.17 s	6.17 s	6.17 s
llm.buzz	Oct 27, 03:00	2.48 s	2.48 s	2.48 s
llm.buzz	Last 24 hours	3.57 s	6.17 s	6.17 s
Novita	Oct 26, 06:00	1.44 s	1.44 s	1.44 s
Novita	Oct 26, 11:00	1.44 s	1.44 s	1.44 s
Novita	Oct 26, 15:00	1.00 s	1.00 s	1.00 s
Novita	Oct 26, 20:00	1.20 s	1.20 s	1.20 s
Novita	Oct 27, 00:00	1.20 s	1.20 s	1.20 s
Novita	Oct 27, 04:00	1.20 s	1.20 s	1.20 s
Novita	Last 24 hours	1.20 s	1.44 s	1.44 s
Alibaba	Oct 26, 05:00	2.48 s	2.48 s	2.48 s
Alibaba	Oct 26, 09:00	2.07 s	2.07 s	2.07 s
Alibaba	Oct 26, 13:00	1.00 s	1.00 s	1.00 s
Alibaba	Oct 26, 18:00	1.44 s	1.44 s	1.44 s
Alibaba	Oct 26, 23:00	1.00 s	1.00 s	1.00 s
Alibaba	Last 24 hours	1.44 s	2.48 s	2.48 s
Prime Intellect	Oct 26, 06:00	1.44 s	1.44 s	1.44 s
Prime Intellect	Oct 26, 10:00	2.07 s	2.07 s	2.07 s
Prime Intellect	Oct 26, 14:00	1.20 s	1.20 s	1.20 s
Prime Intellect	Oct 26, 19:00	1.20 s	1.20 s	1.20 s
Prime Intellect	Oct 26, 23:00	2.48 s	2.48 s	2.48 s
Prime Intellect	Oct 27, 03:00	2.07 s	2.07 s	2.07 s
Prime Intellect	Last 24 hours	1.44 s	2.48 s	2.48 s

Uptime

Last 72 hours, by hour

Best provider 100%

This model

llm.buzz

Novita

Alibaba

Prime Intellect

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 Flash cost?

Qwen: Qwen3.8 Flash costs $0.1125 per million input tokens and $0.3525 per million output tokens at llm.buzz, the provider requests go to first, with cache reads at $0.012 per million tokens. These prices are 25% off until 2026-11-06 00:00 UTC. Each provider sets its own price, and you pay the price of the provider that answered.

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 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.

Similar models

Qwen: Qwen3.6 35B A3Bqwen/qwen3.6-35b-a3b

Open weights. 256K context, $0.25 input and $1.25 output. 3 providers.

Surogate: Surogate 3.7 Flashsurogate/surogate3.7-flash

Open weights. 1M context, $0.10 input and $0.75 output. 2 providers.

Xiaomi: MiMo-V2.6-Flashxiaomi/mimo-v2.6-flash

Open weights. 1M context, $0.14 input and $0.28 output. 1 provider.

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-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-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-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 Flash with one keyEach request pays the price of the provider that answered it.

Get API key

Qwen: Qwen3.8 Flash

Providers

Price history

Performance

Throughput (tok/s)

Latency (time to first token)

Uptime

Questions

Similar models

Call it

Authentication

README