Qwen 3.8 API

Qwen 3.8 Max is Alibaba's flagship multimodal reasoning and agentic LLM. It understands video, images and text and returns text, optimized for coding, long-context tasks and autonomous workflows. Supports function calling, streaming and explicit thinking (reasoning) mode.

Modalities: TextText
In / Out price: $2/$6per 1M
Context window: 1M tokens
Released: Aug 3, 2026

Qwen 3.8 overview

Qwen 3.8 by Alibaba Cloud

Positioned at the very top of Alibaba's Qwen model family, Qwen3.7-Max isn't a general-purpose assistant with reasoning bolted on, reasoning is its foundation.

Qwen 3.8 specs

Model ID: alibaba/qwen3.8-max
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 Qwen3.7 Max API?

Building production AI systems is hard. Most models handle isolated tasks well enough, but fall apart the moment you need them to chain together complex steps, work with external tools, or maintain coherent context across long documents. Qwen3.7 Max was built specifically to close that gap.

The model handles deep reasoning chains, synthesizes information from long-context inputs, calls external functions with precision, and participates in fully autonomous agentic pipelines, all with competitive API pricing that doesn't punish high-volume usage.

Whether you're building a code-generation pipeline, an enterprise document Q&A system, or a multi-step research agent, Qwen3.7-Max gives you the raw reasoning power and API flexibility to make it work.

Eight Things Qwen3.7-Max 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 Qwen3.7 Max

The model's strengths map cleanly onto a set of high-value production use cases where reasoning depth and tool integration actually matter.

`Developer Tooling & Code Generation`

From autocompletion to full feature implementation, Qwen3.7-Max understands project-level context and produces clean, well-structured code across languages.

`Enterprise Document Intelligence`

Process contracts, reports, financial filings, and internal knowledge bases at scale. The long-context window keeps the model grounded in what's actually in the document.

`Autonomous AI Agents`

Build agents that can plan, call tools, browse the web, and iterate on their own. Qwen 3.7 Max's agentic and function-calling capabilities make it a strong backbone for agent frameworks.

`Research & Analysis Pipelines`

Automate literature reviews, competitive analysis, and multi-source synthesis. Web search integration means you're not limited to a static training snapshot.

`Customer-Facing AI Assistants`

Deploy intelligent support bots or product advisors that can reason through complex queries, look up real-time information, and call backend functions gracefully.

`Structured Data Extraction`

Extract precise, schema-conformant data from unstructured text. Prefix continuation and function calling give you reliable, machine-readable outputs without brittle prompt engineering.

Best Use Cases for Qwen3.7-Max

Use Case	Why Qwen3.7-Max Fits
AI coding copilots	Strong debugging and architecture reasoning
Autonomous AI agents	Reliable multi-step execution
Research systems	Deep analytical reasoning
Enterprise copilots	Long-context understanding
Workflow automation	Structured tool orchestration
Developer platforms	Native function calling support

Technical Specification

A quick reference for developers evaluating Qwen3.7-Max for integration.

Model Family	Qwen3, Alibaba Cloud AI
Model Tier	Max / Flagship
Reasoning Mode	Advanced Reasoning
Function Calling	✓ Supported
Web Search	✓ Supported
Streaming	✓ Supported
Prompt Cache	✓ Supported
Context Window	Long-Context
Agentic Use	✓ Supported
Prefix Continuation	✓ Supported
Primary Strengths	Coding Productivity Long-Context Autonomous Workflows

What makes Qwen3.7-Max different from standard Qwen models?

‍Qwen3.7-Max sits at the top of Alibaba's Qwen3 model family. Unlike lighter variants optimized for speed or cost, Max is tuned specifically for deep reasoning, complex problem-solving, and agentic task execution. It includes full support for function calling, cache, web search, and long-context comprehension, features not always available in smaller models within the family.

Use cases

Qwen3.8 Max is documented as suited to autonomous coding and long-horizon software work, including completing complex projects over many days with minimal human intervention.

It is also documented for legal and compliance review, with examples showing it reviewing large document corpora and surfacing relevant clauses in a single pass.

The model is documented for financial research and other knowledge-intensive business workflows, including enterprise tasks that combine reasoning, analysis, and production-grade deliverables.

It is also documented for multimodal content creation and visual tasks, such as editing personal footage into vlogs, generating educational animations, reconstructing frontends from screenshots, transforming floor plans into 3D visualizations, and building interactive games from natural-language requests.

Capabilities

Function calling
Streaming
Reasoning
Web search
Vision

Qwen 3.8 benchmarks by Artificial Analysis

See how Qwen 3.8 compares in generation speed and latency. Data retrieved Nov 3, 2026.

Speed#202 / 21939.4Output tokens / second Latency#169 / 2162.77Seconds to first token Humanity's Last Exam#35 / 45843%Score GPQA Diamond#17 / 43992.7%Score

Speed

Output tokens / second

Benchmark results

Compare 12 models available on AI/ML API across 5 independent benchmarks.

Humanity's Last Exam

Expert-written questions across academic subjects.

Qwen 3.8 API pricing

Qwen 3.8 pricing in US dollars
Usage	Price	Unit
Input	$2	1M tokens
Output	$6	1M tokens
Cached input	$0.25	1M tokens

Prices from the AI/ML API price list, checked on Nov 4, 2026.

Qwen 3.8 vs other models: token prices

AI/ML API input and output rates for 5 models, per million tokens.

AI/ML API model prices in USD per million tokens
Model	Input	Output
Qwen 3.8	$2	$6
Qwen3.8 Omni Flash	$0.15	$0.47
Qwen3.8-Flash	$0.16	$0.47
Qwen 3.8 27B	$0.4761	$3.39
Qwen3.8 Max Prime	$4.23	$12.7

How to use the Qwen 3.8 API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export 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-max",
  "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-max",
    "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-max",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

All posts

Qwen 3.8 FAQ

What is the context window of Qwen 3.8?

Qwen 3.8 has a 1,000,000 tokens context window and can return up to 131,072 tokens.

What inputs and outputs does Qwen 3.8 support?

Qwen 3.8 takes video, image, text as input and returns text.

What is the model ID for Qwen 3.8?

Use alibaba/qwen3.8-max as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

When was Qwen 3.8 released?

Qwen 3.8 became available on July 24, 2026.

How much does Qwen 3.8 cost?

Qwen 3.8 costs $2 input and $6 output per 1M tokens on AI/ML API, billed as you go with no subscription.

Does Qwen 3.8 support streaming?

Yes, Qwen 3.8 can stream responses as they are generated.

Can Qwen 3.8 read images?

Yes, Qwen 3.8 accepts image input alongside text.

Who created Qwen 3.8?

Qwen 3.8 was built by Alibaba Cloud.

Start building with Qwen 3.8

Get API key

Qwen 3.8 API

alibaba/qwen3.8-max

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export 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-max",
  "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-max",
    "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-max",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

Docs for AI agents Plain-text index · llms.txt API documentation API reference and examples

Qwen 3.8 API

Qwen 3.8 overview

Qwen 3.8 by Alibaba Cloud

Qwen 3.8 specs

What is Qwen3.7 Max API?

Eight Things Qwen3.7-Max Does Well

What Teams Are Building with Qwen3.7 Max

Developer Tooling & Code Generation

Enterprise Document Intelligence

Autonomous AI Agents

Research & Analysis Pipelines

Customer-Facing AI Assistants

Structured Data Extraction

Best Use Cases for Qwen3.7-Max

Technical Specification

What makes Qwen3.7-Max different from standard Qwen models?

Use cases

Capabilities

Speed

Benchmark results

Humanity's Last Exam

GPQA Diamond

Terminal-Bench 4.0

AA-LCR

SciCode

Qwen 3.8 API pricing

Qwen 3.8 vs other models: token prices

How to use the Qwen 3.8 API

Build with your agent

1Get your API key

2Make your first request

Models similar to Qwen 3.8

Qwen3.8 Max Prime

Qwen3.8 Omni Flash

Qwen3.8-Flash

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Qwen 3.8 FAQ

Start building with Qwen 3.8

`Developer Tooling & Code Generation`

`Enterprise Document Intelligence`

`Autonomous AI Agents`

`Research & Analysis Pipelines`

`Customer-Facing AI Assistants`

`Structured Data Extraction`