Speed
Output tokens / second
Custom pricing for production workloads
Qwen3.7-Max is Alibaba’s flagship reasoning and agentic LLM optimized for coding, productivity, long-context understanding and autonomous workflows. Text input and text output only. Supports function calling, explicit context cache and advanced reasoning capabilities.
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.
alibaba/qwen3.7-maxhttps://api.aimlapi.com/v1Building 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.
These aren't marketing checkboxes. Each capability reflects how the model was trained and what it was optimized to handle in production.
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 GenerationFrom autocompletion to full feature implementation, Qwen3.7-Max understands project-level context and produces clean, well-structured code across languages.
Enterprise Document IntelligenceProcess 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 AgentsBuild 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.
Qwen3.7 Max is documented as suited to coding agents, including frontend prototyping and complex multi-file software engineering. It is also suited to office and productivity work, especially office workflow automation and multi-agent orchestration for productivity tasks.
It is documented for long-horizon autonomous execution, handling complex multi-step tasks that can run for hundreds or thousands of actions. It is also presented as useful for general-purpose conversational use cases such as knowledge-based question answering, instruction following, and creative writing.
See how Qwen 3.7 Max compares in generation speed and latency. Data retrieved Nov 3, 2026.
Output tokens / second
Compare 9 models available on AI/ML API across 5 independent benchmarks.
Expert-written questions across academic subjects.
Graduate-level science questions written to resist web search.
Agentic tasks completed in a command-line environment.
Reasoning across long documents of about 100k tokens.
Python coding tasks drawn from scientific research.
| Usage | Price | Unit |
|---|---|---|
| Input | $2 | 1M tokens |
| Output | $6 | 1M tokens |
| Cached input | $2 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $2 | $6 | |
| $0.15 | $0.47 | |
| $0.16 | $0.47 | |
| $0.4761 | $3.39 | |
| $4.23 | $12.7 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "alibaba/qwen3.7-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/qwen3.7-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/qwen3.7-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());Qwen 3.7 Max has a 1,000,000 tokens context window and can return up to 65,536 tokens.
Qwen 3.7 Max takes text as input and returns text.
Use alibaba/qwen3.7-max as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Qwen 3.7 Max became available on May 21, 2026.
Qwen 3.7 Max costs $2 input and $6 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Yes, Qwen 3.7 Max can stream responses as they are generated.
Qwen 3.7 Max was built by Alibaba Cloud.
Yes, it supports function calling and tool use, including parallel tool calls.