How much does Qwen3.8 Flash cost via the API?

Pricing on WaveSpeedAI: $0.15 per million input tokens and $0.47 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.

What is the context window of Qwen3.8 Flash?

Qwen3.8 Flash supports up to 1000K tokens of context with up to 131K tokens of output per request.

Is Qwen3.8 Flash OpenAI-compatible?

WaveSpeedAI exposes Qwen3.8 Flash at https://llm.wavespeed.ai/v1 through the OpenAI-compatible Chat Completions interface. Most OpenAI SDK clients work by changing the base URL and API key; optional fields depend on the selected model.

How do I get started with Qwen3.8 Flash?

Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with the model id shown above. Check the current model catalog for availability, capabilities, and pricing.

Qwen3.8 Flash | Qwen Multimodal LLM API Pricing

Name: Qwen3.8 Flash API
Brand: qwen
Price: 0.15 USD
Availability: InStock

qwen/qwen3.8-flash

Release date: 2026-08-27

1,000,000 context · $0.15/M input tokens · $0.47/M output tokens

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.

Pricing

Pay-per-use

No upfront costs, pay only for what you use

Input$0.15 / M Tokens

Output$0.47 / M Tokens

Cache Read$0.02 / M Tokens

Cache Write$0.20 / M Tokens

Try the model

qwen/qwen3.8-flash

Online

Hi! I am a helpful AI assistant. What can I do for you?

Ready to use this model in a local coding agent?Agent Setup

API Usage

Use the following code examples to integrate with our API:

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 0,
});

try {
  const response = await client.chat.completions.create({
    model: 'qwen/qwen3.8-flash',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  const body = response as typeof response & { error?: { message?: string } };
  if (body.error) throw new Error(body.error.message || 'LLM generation failed');
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 0,
});

try {
  const response = await client.chat.completions.create({
    model: 'qwen/qwen3.8-flash',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  const body = response as typeof response & { error?: { message?: string } };
  if (body.error) throw new Error(body.error.message || 'LLM generation failed');
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

Model Introduction

Qwen: Qwen3.8 Flash

This model is imported from OpenRouter metadata and exposed through the WaveSpeed AI OpenAI-compatible API for chat completions and compatible application workflows.

Why It Looks Great

text+image+video->text architecture for Text, Image, Video to Text workloads
1000000 context window for long prompts, document analysis, and multi-turn workflows
Competitive pricing at $0.15/$0.47 per million tokens
Vision input support for image understanding and multimodal tasks
Function calling and tool-use support for agentic application workflows
Structured output support for JSON responses and schema-constrained generation
Reasoning controls available through supported OpenRouter parameters

Key Features

Context Window: 1000000 tokens
Max Input: 868928 tokens
Max Output: 131072 tokens
Vision: Supported
Function Calling: Supported
Structured Outputs: Supported
Image Generation: Not listed
Audio Input: Not listed
Supported Parameters: frequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p

Specifications

Specification	Value
Provider	alibaba
Model Type	Chat Completions model
Architecture	text+image+video->text
Context Window	1000000 tokens
Max Input	868928 tokens
Max Output	131072 tokens
Input	Text, Image, Video
Output	Text
Vision	Supported
Function Calling	Supported
Structured Outputs	Supported
OpenRouter Created	August 27, 2026

Pricing

Token Type	Cost
Input	$0.15 per million tokens
Output	$0.47 per million tokens
Cached Input	$0.016 per million tokens
Cache Write (5m)	$0.2 per million tokens

Note: Pricing is generated from OpenRouter model metadata. If multiple upstream providers expose different endpoint prices, review and adjust the price before publishing.

How to Use

Write your prompt - describe the task, provide context, and specify the desired output format.
Submit - the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: qwen/qwen3.8-flash

API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="qwen/qwen3.8-flash",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "qwen/qwen3.8-flash",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: qwen/qwen3.8-flash
Provider: alibaba
Endpoint availability and provider-specific routing may change on OpenRouter

Sources: OpenRouter model metadata.

Info

Provideralibaba

Typellm

Supported Functionality

Input

TextImage

Output

Text

Context1,000,000

Max Output131,072

Vision✓ Supported

Function Calling✓ Supported

API Access Guide

Base URLhttps://llm.wavespeed.ai/v1

API Endpointchat/completions

Model IDqwen/qwen3.8-flash

Pricing

Try the model

API Usage

Model Introduction

Qwen: Qwen3.8 Flash

Why It Looks Great

Key Features

Specifications

Pricing

How to Use

API Integration

API Usage

Python SDK

cURL

Notes

Info

Supported Functionality

API Access Guide

Qwen3.8 Flash API

Try Qwen3.8 Flash on WaveSpeedAI

Frequently Asked Questions about Qwen3.8 Flash

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