Qwen3.8-Flash API
Released August 26, 2026. A 125B-parameter MoE that activates roughly 6B parameters per token, with a native 262K context window that YaRN scaling can extend to 1M. It accepts text, image, and video input and speaks both the OpenAI and Anthropic API protocols.
💰 Save up to 70% vs official Alibaba pricingQwen3.8-Flash — cheaper than the official Alibaba API
Access Qwen3.8-Flash through AI API Hub and pay less per token. Same OpenAI-compatible endpoint, lower cost.
Technical Specifications
| Provider | Alibaba |
| Model Family | Qwen3.8-Flash |
| Release Date | 2026-08 |
| Context Window | 262K |
| Max Output Tokens | 131,072 |
| Input Price | $0.15 / 1M tokens |
| Output Price | $0.47 / 1M tokens |
| Vision Support | Yes ✓ |
| Function Calling | Yes ✓ |
| JSON Mode | No |
| Streaming | Yes ✓ |
| Fine Tuning | Available |
| Status | Active ✓ |
Overview
Qwen3.8-Flash is Alibaba's current qwen model, released in 2026-08. Released August 26, 2026. A 125B-parameter MoE that activates roughly 6B parameters per token, with a native 262K context window that YaRN scaling can extend to 1M. It accepts text, image, and video input and speaks both the OpenAI and Anthropic API protocols.
For developers, the headline numbers are a 262K context window and up to 131,072 output tokens per response — enough headroom for cheapest 3.8-series model and 262k native context without chunking your input. Priced at $0.15/1M input and $0.47/1M output, it sits in the budget tier — ideal for high-volume pipelines where token cost dominates.
On the capability side, Qwen3.8-Flash exposes 5 features: Vision, Video, Reasoning, Function Calling, Streaming. Fine-tuning is on the table if you need to specialize behavior on your own data. Vision support means you can pass images alongside text, handy for document parsing or UI automation.
The practical appeal of routing Qwen3.8-Flash through AI API Hub is simplicity: one OpenAI-compatible endpoint, USDT & USDC payments, no credit card, and you're calling the API in under 30 seconds — just swap your base URL.
What Makes Qwen3.8-Flash Different
How Qwen3.8-Flash is used
Qwen3.8-Flash is used for text-to-video and image-to-video generation. You send a prompt or reference image, receive a video clip back. Common pipelines: marketing asset generation, storyboarding, social content, and visual prototyping. It doesn't handle text chat — route text workloads to a language model.
Pricing position within Alibaba
Qwen3.8-Flash sits in the middle of Alibaba's pricing at $0.15/1M input — 75% below the lineup average ($0.07 cheapest, $2.00 most expensive). 2 siblings cost less, 5 cost more. This mid-tier positioning makes it a sensible default when you're unsure which variant to pick.
Qwen3.8-Flash's role in the lineup
Within Alibaba's lineup, Qwen3.8-Flash is a mid-tier option — balanced between cost and capability. The qwen family has 8 active variants, and Qwen3.8-Flash occupies the lower end. This makes it a safe default for production workloads where you're not sure which tier to pick.
Real-world use cases
Real-world deployments: marketing video generation from product descriptions, social media content creation, storyboarding for video production, and visual prototyping for design teams. Qwen3.8-Flash outputs video clips directly — no separate rendering pipeline needed.
vs sibling models
What makes Qwen3.8-Flash different from sibling models: compared to Qwen3.8-Max ($1.85/1M more expensive, 1M vs 262K context (larger)); Qwen3-Max ($1.05/1M more expensive, 252K vs 262K context (smaller)); Qwen3.5-Plus ($0.25/1M more expensive, 1M vs 262K context (larger)). Choose Qwen3.8-Flash when step-by-step reasoning matters more than speed.
API Examples
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.apiyihe.org/v1"
)
response = client.chat.completions.create(
model="qwen3.8-flash",
messages=[
{"role": "user", "content": "Hello"}
]
)
print(response.choices[0].message.content)JavaScript / Node.js
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.API_KEY,
baseURL: "https://api.apiyihe.org/v1"
});
const response = await client.chat.completions.create({
model: "qwen3.8-flash",
messages: [
{ role: "user", content: "Hello" }
]
});
console.log(response.choices[0].message.content);cURL
curl https://api.apiyihe.org/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "qwen3.8-flash",
"messages": [
{"role": "user", "content": "Hello"}
]
}'Supported Features
| Vision / Image Input | ✅ Supported |
| Audio / Voice Input | ❌ Not Available |
| Function Calling | ✅ Supported |
| JSON Mode | ❌ Not Available |
| Streaming | ✅ Supported |
| Fine-Tuning | ✅ Available |
| Multimodal | ❌ Not Available |
Benchmark Scores
| Benchmark | Score |
|---|---|
| MMLU | Not Publicly Available |
| GPQA | Not Publicly Available |
| SWE-Bench | Not Publicly Available |
| HumanEval | Not Publicly Available |
| GSM8K | Not Publicly Available |
| MATH | Not Publicly Available |
| MMMU | Not Publicly Available |
Pricing History
Qwen3.8-Flash was released in 2026-08 by Alibaba and is currently publicly available via AI API Hub.
Current Pricing: $0.15 per 1M input tokens · $0.47 per 1M output tokens. Pay-as-you-go with no minimum commitment.
Pricing Model: Token-based billing (pay per use). No subscription fees. No hidden costs. Fine-tuning incurs additional costs at training and inference time.
💡 Alibaba occasionally updates pricing. AI API Hub reflects current pricing in real-time. All prices in USD. Pay with USDT or USDC — no currency conversion fees.
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Frequently Asked Questions
What is Qwen3.8-Flash?
Qwen3.8-Flash is Alibaba's current qwen model. Released August 26, 2026. A 125B-parameter MoE that activates roughly 6B parameters per token, with a native 262K context window that YaRN scaling can extend to 1M. It accepts text, image, and video input and speaks both the OpenAI and Anthropic API protocols. It offers a 262K context window and supports Vision, Video, Reasoning. You can access it through AI API Hub using USDT or USDC — no credit card required.
How much does Qwen3.8-Flash cost?
Qwen3.8-Flash is priced at $0.15 per 1M input tokens and $0.47 per 1M output tokens, billed pay-as-you-go with no minimum. Through AI API Hub you can start with as little as $5 and scale from there.
Qwen3.8-Flash vs GPT-6 Astra?
They're built for different jobs. Qwen3.8-Flash costs $0.15/1M input with a 262K window; GPT-6 Astra runs $10.00/1M input with 1M. Qwen3.8-Flash is the more cost-effective pick and still brings cheapest 3.8-series model. See the full side-by-side at /compare/qwen3.8-flash-vs-gpt-6-astra/.
Qwen3.8-Flash context window?
Qwen3.8-Flash has a 262K context window, capable of processing up to 262,144 tokens in a single request. Maximum output tokens: 131,072.
Does Qwen3.8-Flash support function calling?
Yes, Qwen3.8-Flash supports function/tool calling, allowing you to define functions that the model can invoke. This enables AI agents, API integrations, and structured data extraction.
Is Qwen3.8-Flash multimodal?
Partially — Qwen3.8-Flash supports vision (image input) but not native audio processing.
Qwen3.8-Flash API rate limits?
Qwen3.8-Flash rate limits: 10K RPM. Higher tier plans offer increased throughput. For high-volume production use, consider Alibaba's faster variant models.
How to access Qwen3.8-Flash API?
Access Qwen3.8-Flash through AI API Hub: (1) Register at z.apiyihe.org/register?aff=ZVtr, (2) Deposit USDT/USDC, (3) Get your API key instantly, (4) Use the OpenAI-compatible endpoint https://api.apiyihe.org/v1 with model name "qwen3.8-flash". Start building in under 30 seconds.