Qwen3.8 Flash

Alibaba Qwenqwen/qwen3.8-flashProviders: 1
Inputi$0.15per 1M tokens
Outputi$0.47per 1M tokens
Contexti1M1,000,000 tokens
ReleasedAug 26, 2026Max output: 128K

About this model

Qwen3.8 Flash is an AI model from Alibaba Qwen, made available through the API on August 26, 2026. It can read up to 1,000,000 tokens in one request, roughly 1,875 pages of text, and write up to 131,072 tokens in a single answer. Besides text, it accepts images and video as input.

Through the API it costs $0.15 per million input tokens and $0.47 per million output tokens. Its pricing puts it among the more affordable models we track, which makes it a good fit for high-volume tasks.

It supports extended reasoning: it can "think" step by step before answering, which helps on maths, code and complex questions. It can call tools and functions, so developers can connect it to search, databases or other software. Its weights are openly published (Qwen/Qwen3.8-Flash-Next), so it can also be downloaded and run on your own hardware.

Quality scores

Rankings →

Not rated yet. Independent test results usually appear a few weeks after a model is released.

Benchmark data: Epoch AI, licensed CC BY 4.0

Where to use it

Companies that serve this model through an API: 1. Prices per million tokens, cheapest first.

ProviderInputiOutputiContextiUptime (24 h)i
AlibabaOfficial
$0.15$0.471M99.8%

Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.

Use it in your code

Call Qwen3.8 Flash through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen/qwen3.8-flash", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'

The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.

What it costs in practice

  • 1,000 chat replies
    ≈ 500 tokens in, 300 out each
    $0.216
  • Summarise a 100-page document
    ≈ 50,000 tokens in, 1,000 out
    $0.008
  • An app with 10,000 requests a day for a month
    ≈ 1,000 tokens in, 400 out each
    $101

Cost calculator →

Similar-priced alternatives

ModelInputiOutputiContexti
$0.15$1.5036KCompare with ⇄
GLM 5.3 FlashZ.ai (Zhipu)
$0.15$0.501MCompare with ⇄
$0.14$0.281MCompare with ⇄
Mistral Small 4Mistral AI
$0.15$0.60256KCompare with ⇄
$0.15$0.60128KCompare with ⇄
$0.15$0.60128KCompare with ⇄

News about Alibaba Qwen

See all →

Frequently asked questions

How much does Qwen3.8 Flash cost?
Qwen3.8 Flash costs $0.15 per million input tokens and $0.47 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.216.
What is the context window of Qwen3.8 Flash?
Qwen3.8 Flash can read up to 1,000,000 tokens in one request, about 1,875 pages of text. It can write up to 131,072 tokens in a single answer.
Is Qwen3.8 Flash open source?
Yes. Its weights are published (Qwen/Qwen3.8-Flash-Next), so you can download it and run it on your own hardware, or use it through one of 1 API providers.
Who makes Qwen3.8 Flash?
Qwen3.8 Flash is made by Alibaba Qwen. It became available through the API on August 26, 2026.
Can Qwen3.8 Flash read images?
Yes. Besides text, it accepts images and video as input.
What are the alternatives to Qwen3.8 Flash?
Models with a similar price from other companies include Perceptron Mk1.5, GLM 5.3 Flash and MiMo-V2.6-Flash. You can compare them side by side on this page.