---
title: "Qwen3.8 Flash — LLM-TEST.com"
url: /models/qwen3-8-flash/
canonical_url: https://llm-test.com/models/qwen3-8-flash/
language: en
type: model
summary: "The fast, inexpensive open-weight tier of the 3.8 generation, built for low latency and high volume. Apache-2.0 weights make it easy to deploy and scale."
last_updated: "2026-11-05"
---

# Qwen3.8 Flash

_Alibaba · Fast · open weights_

The fast, inexpensive open-weight tier of the 3.8 generation, built for low latency and high volume. Apache-2.0 weights make it easy to deploy and scale.

## At a glance

- Released: Aug 12, 2026
- Provider: Alibaba
- Context window: 128,000 tokens
- Max output: 16,000 tokens
- Modalities: Text → text
- Knowledge cutoff: May 2026
- API model ID: `qwen3.8-flash`
- License: Open weights (Apache-2.0)

## Pricing

- Standard: $0.14 input / $0.42 output per 1M tokens (aggregator estimate)
- Example: a 1,500-token prompt + 650-token answer ≈ $0.0005 (standard)

## Best use cases

- **High-volume chat** — Serves routine conversations cheaply at low latency.
- **Structured extraction** — Parses and classifies text reliably at scale.
- **Edge deployment** — Small and open enough to run close to users.

## Strengths

- Low latency
- Very cheap
- Apache-2.0 open weights

## Limitations

- Limited deep reasoning
- Shorter outputs than Plus and Max

## Where to get access

- Consumer app: Qwen Chat (web, mobile) — https://chat.qwen.ai
- API: Alibaba Cloud Model Studio — https://modelstudio.console.alibabacloud.com
- Also available: open weights on Hugging Face and ModelScope
- Docs: https://www.alibabacloud.com/help/en/model-studio

Full comparison and live pricing: https://llm-test.com/ · directory: https://llm-test.com/models/