Qwen3.8-Flash overview
Qwen3.8-Flash specs
- Model ID
alibaba/qwen3.8-flash- Developer
- Alibaba Cloud
- Context window
- 1,000,000 tokens
- Max output
- 131,072 tokens
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
What Is Qwen3.8-Flash API?
Not every production workload needs a flagship-tier model. Most agent loops, coding assistants, and office-automation pipelines run the same handful of tasks thousands of times a day, and paying flagship prices for that volume adds up fast. Qwen3.8-Flash was built to close that gap: Alibaba's newest cost-efficient multimodal model, tuned specifically for stronger coding and office-task performance while cutting training cost roughly ninefold versus its predecessor, Qwen3.7-Plus.
The model ships with reasoning turned on by default, a 262,144-token context window that expands to 1M when you need it, and full support for streaming, structured outputs, and function calling, the same production toolkit as the larger Qwen models, at a fraction of the per-token cost.
Technical Reference
| Developer | Alibaba |
|---|---|
| Model ID | alibaba/qwen3.8-flash |
| Release Date | August 26, 2026 |
| Context Window | 262,144 tokens (expandable to 1M) |
| Max Output Tokens | 131,072 |
| Modalities | Text (input and output) |
| Capabilities | Reasoning, streaming, structured (JSON schema) output, tool/function calling |
Eight Things Qwen3.8-Flash Does Well
These aren't marketing checkboxes. Each capability reflects how the model was trained and what it was optimized to handle in production.
What Teams Are Building with Qwen3.8-Flash
The model's strengths map cleanly onto a set of high-volume production use cases where cost per request matters as much as capability.
Developer Tooling & Code Generation
From autocompletion to full feature implementation, Qwen3.8-Flash handles everyday coding workloads at a fraction of flagship-model cost.
Office & Document Automation
Summarize reports, draft correspondence, and process internal documents at the volume office-automation pipelines actually run at.
Use cases
Qwen3.8 Flash is documented as suited to coding assistance, including agentic coding and coding or co-working assistants.
It is also documented for tool-driven workflows and agentic workflows, where it can call tools and support long-horizon tasks.
The model is documented for visual understanding, including screenshot analysis, chart analysis, document OCR, and other image-based tasks.
It is also documented for long-document or long-context processing, including handling lengthy documents, entire codebases, long conversations, and extensive research materials.
Capabilities
- Reasoning
- Streaming
- Structured outputs
- Function calling
Qwen3.8-Flash API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.16 | 1M tokens |
| Output | $0.47 | 1M tokens |
| Cached input | $0.016 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Qwen3.8-Flash vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 Qwen3.8-Flash | $0.16 | $0.47 |
| Qwen3.8 Omni Flash | $0.15 | $0.47 |
| Qwen 3.8 27B | $0.4761 | $3.39 |
| Qwen3.8 2.4T A95B | $2.65 | $6.61 |
| Qwen3.8 Max Prime | $4.23 | $12.7 |
How to use the Qwen3.8-Flash API
View docs
Build with your agent
Give your agent the model details, code and documentation.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "alibaba/qwen3.8-flash",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "alibaba/qwen3.8-flash",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "alibaba/qwen3.8-flash",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to Qwen3.8-Flash
Qwen3.8-Flash FAQ
What is the context window of Qwen3.8-Flash?
Qwen3.8-Flash has a 1,000,000 tokens context window and can return up to 131,072 tokens.
What inputs and outputs does Qwen3.8-Flash support?
Qwen3.8-Flash takes text as input and returns text.
What is the model ID for Qwen3.8-Flash?
Use alibaba/qwen3.8-flash as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
When was Qwen3.8-Flash released?
Qwen3.8-Flash became available on August 26, 2026.
How much does Qwen3.8-Flash cost?
Qwen3.8-Flash costs $0.16 input and $0.47 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Does Qwen3.8-Flash support streaming?
Yes, Qwen3.8-Flash can stream responses as they are generated.
Who created Qwen3.8-Flash?
Qwen3.8-Flash was built by Alibaba Cloud.
Does Qwen3.8-Flash support tool use?
Yes. It supports function calling and built-in tools such as web search.