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qwen3.7-max

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks, and long-horizon autonomous execution. The model offers notable gains in coding and agentic performance over prior Qwen generations and supports explicit prompt caching for efficient repeated context use.

🔧Tool calling⚡Caching
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Specifications

Context window1.0M tokens
Max output66K tokens
API typechat
AddedMay 26, 2026
Model IDalibaba/qwen3.7-max
Data retentionNo
Used for trainingNo
Provider location🇸🇬 Singapore
Privacy policyAlibaba Cloud Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Alibaba Cloud models overview.

Pricing

Input / 1M
$2.50
Output / 1M
$7.50
Cache write / 1M
$3.13
Cache read / 1M
$0.25
Estimated cost
100K input + 10K output$0.33
1M input + 100K output$3.25
10M input + 1M output$32.50

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to alibaba/qwen3.7-max.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="alibaba/qwen3.7-max",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other Alibaba Cloud models

qwen3-max
262K ctx$0.86/1M
qwen3-30b-a3b-instruct-2507
131K ctx$0.20/1M
qwen3-coder-flash
1.0M ctx$0.30/1M
qwen3-coder-plus
1.0M ctx$1.00/1M
qwen-max
33K ctx$1.60/1M
qwen-turbo
1M ctx$0.05/1M

Frequently asked questions

How much does qwen3.7-max cost?
qwen3.7-max is priced at $2.50 per million input tokens and $7.50 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of qwen3.7-max?
qwen3.7-max has a context window of 1.0M tokens, with a maximum output of 66K tokens per response. That's roughly 1,398 words of input you can fit in a single prompt.
What can qwen3.7-max do?
qwen3.7-max supports tool calling, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use qwen3.7-max with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "alibaba/qwen3.7-max". The Quickstart above shows Python, JavaScript and cURL snippets.

Access qwen3.7-max through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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