Alibaba
Qwen3.7 Plus
qwen3.7-plus
Total Context
1M
Max Output
64K
Released
N/A
Input$0.2857 / M tokens
Output$1.1429 / M tokens
Qwen3.8 Max
qwen3.8-maxQwen3.8-Max is a 2.4T-parameter MoE flagship model for advanced reasoning, coding, enterprise productivity, and agent workflows. It is designed to handle complex, long-running tasks from software development to professional workflows across domains such as law, finance, and design. Use the Qwen API through TokenHub to review the current Qwen3.8 Max price, model ID, context and output limits, supported modalities and endpoints, and benchmark results before deploying it in production.Powered by native multimodal intelligence, Qwen3.8-Max understands text, images, and videos across long contexts, supporting deep analysis of extensive documents and long-form content. Its agentic capabilities enable autonomous planning, execution, verification, and continuous iteration throughout complex workflows.
Context Window
1M tokens
Maximum Output
128K tokens
Release Date
Aug 3, 2026
Modalities
Qwen3.8 Max Pricing
| Input Price | Output Price | Cache Read | Cache Create 5m | Cache Read 5m |
|---|---|---|---|---|
| $2/M | $6/M | $0.25/M | $2.5/M | $0.17/M |
Qwen3.8 Max API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Not supported
Attachments
Supported
Knowledge Base
—
Endpoint Protocols
Completions APIResponses APIMessages API
Qwen3.8 Max Model Highlights
Qwen3.8 Max combines reasoning, native visual understanding, long-horizon planning, and a one-million-token context for complex professional workloads.
Professional Reasoning
The flagship reasoning model is designed for demanding coding, office, legal, financial, and design-related tasks.
Native Visual Understanding
It accepts text, images, and video, enabling semantic interpretation of visual documents, charts, and long-form video content.
Long-Horizon Context
A one-million-token context window and autonomous planning capabilities support extended tasks that require repeated analysis and iteration.
Qwen3.8 Max Use Cases
Qwen3.8 Max is suited to engineering-scale coding, professional document analysis, and long-running multimodal workflows.
Engineering-Scale Coding
Analyze large codebases, coordinate changes across components, and iteratively complete complex software engineering assignments.
Professional Document Analysis
Review lengthy legal, financial, or business materials, extract relevant evidence, and produce structured findings.
Visual Media Analysis
Interpret charts, document images, and long videos to extract events, relationships, and concise text summaries.
How to Use Qwen3.8 Max via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)Qwen3.8 Max Comparisons
Qwen3.8 Max API FAQs
Answers to common questions about the Qwen3.8 Max API, pricing, coding and agent workflows, multimodal capabilities, and model comparisons on TokenHub.
What is Qwen3.8 Max?+
Qwen3.8 Max is a Qwen flagship MoE model for advanced reasoning, coding, enterprise productivity, and agent workflows. It is designed for complex, long-running work where a model needs to process substantial task context and produce production-oriented results.
Is Qwen3.8 Max suitable for coding and agent workflows?+
Qwen3.8 Max is worth evaluating for complex coding, multi-step reasoning, and agent workflows that require planning, execution, verification, and iteration. Before using it as a production default, test it with representative repository tasks, tool calls, and quality criteria from your own application.
Does Qwen3.8 Max support multimodal inputs?+
Review the modalities and API section on this page to confirm the input types and endpoints currently available through TokenHub. For document, image, or video workflows, validate the supported request format and test with representative source material before deploying.
How do I use the Qwen3.8 Max API through TokenHub?+
Create a TokenHub API key, copy the exact Qwen3.8 Max model ID shown on this page, and select a supported endpoint in the API section. Use the generated request example as the starting point for your OpenAI-compatible client or other supported integration.
How should I evaluate Qwen3.8 Max API pricing?+
Review the current input, output, and cache-read prices displayed on this page, then estimate cost using your typical prompt size, response length, request volume, and cache-hit rate. Long-context, multimodal, and agent workloads can have a very different cost profile from simple chat.
What are the Qwen3.8 Max context and maximum output limits?+
Use the model specifications on this page as the source of truth for the current context window and maximum output. Context determines how much source material you can include in a request, while maximum output determines how much content the model can return at once.
Qwen3.8 Max vs GLM-5.2: which model should I choose?+
There is no universal winner. Compare Qwen3.8 Max and GLM-5.2 against the job you need to ship: coding and agent reliability, reasoning quality, multimodal requirements, context and output limits, current pricing, and endpoint compatibility. Run a small evaluation with representative prompts before standardizing on either model.
Ready to use Qwen3.8 Max?
Use one API key to access Qwen3.8 Max and more AI models through TokenHub.
Qwen3.8 Max Media and Demos
Selected public announcements, demonstrations, and community discussions about Qwen3.8-Max.
X (Twitter)
Reddit
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