Qwen 3.7 Max API Guide: Pricing, Features, and How to Access in 2026

Q: What can I do with 1 million token context?

1M token context allows you to process entire codebases, long documents (500+ pages), full conversation histories, or multiple documents simultaneously. This is useful for code analysis, document Q&A, and long-form content generation.

Qwen 3.7 Max is Alibaba's flagship language model, offering a massive 1 million token context window at a fraction of GPT-5.5's price. Here's everything you need to know.

Quick Stats

Feature	Qwen 3.7 Max	GPT-5.5
Input price (per 1M tokens)	$1.00	$5.00
Output price (per 1M tokens)	$3.00	$15.00
Context window	1,000,000 tokens	128,000 tokens
Multilingual	Excellent (29+ languages)	Good
Function calling	Yes	Yes
Streaming	Yes	Yes

How to Access Qwen 3.7 Max API

The official Alibaba DashScope API requires a Chinese phone number and Alipay. For developers outside China, use NovAI:

import openai

client = openai.OpenAI(
    api_key="sk-novai-your-key",
    base_url="https://aiapi-pro.com/v1"
)

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

Why 1M Context Matters

Qwen 3.7 Max's 1 million token context window is one of the largest available. This enables:

Full codebase analysis — load an entire project's source code
Long document Q&A — process 500+ page documents in one call
Conversation memory — maintain context across hundreds of messages
Multi-document comparison — compare multiple documents simultaneously

Benchmark Performance

Benchmark	Qwen 3.7 Max	GPT-5.5	DeepSeek V4
MMLU (reasoning)	87.2%	89.8%	88.5%
HumanEval (code)	89.5%	92.1%	90.3%
Multilingual	88.9%	85.1%	84.3%

Try Qwen 3.7 Max with $5 free credit at NovAI

FAQ

How much does Qwen 3.7 Max API cost?

Qwen 3.7 Max costs $1.00 per 1M input tokens and $3.00 per 1M output tokens through NovAI. This is significantly cheaper than GPT-5.5 ($5/$15) and Claude Sonnet 4.7 ($3/$15), making it one of the best value models for long-context applications.

What is the context window of Qwen 3.7 Max?

Qwen 3.7 Max supports a 1 million token context window — one of the largest available in any commercial LLM. This is 8x larger than GPT-5.5's 128K context and 5x larger than Claude's 200K context. You can process entire codebases, long documents, and extensive conversation histories in a single API call.

How do I access Qwen 3.7 Max API without a Chinese phone?

Use NovAI (aiapi-pro.com), a Hong Kong-based API gateway. It provides OpenAI-compatible access to Qwen 3.7 Max with USDT payment, no Chinese phone required. $5 free credit on signup. The code change is literally one line — just swap the base URL.

Is Qwen 3.7 Max better than GPT-5.5?

For multilingual tasks and long-context applications, Qwen 3.7 Max is competitive with or better than GPT-5.5. It has a 1M context window (vs 128K), strong Chinese/multilingual support (88.9% vs 85.1% on multilingual benchmarks), and costs 80% less. For pure English reasoning, GPT-5.5 has a slight edge (89.8% vs 87.2% on MMLU).

What can I do with 1 million token context?

1M token context allows you to process entire codebases (e.g., a 50-file Python project), long documents (500+ pages of PDF text), full conversation histories (hundreds of messages), or multiple documents simultaneously. This is useful for code analysis, document Q&A, legal document review, and long-form content generation. At $1/1M input tokens, processing 1M tokens costs just $1.