Requesty

qwen3-max

This is the best-performing model in the Qwen series. It is ideal for complex, multi-step tasks.

πŸ‘VisionπŸ”§Tool calling⚑Caching

Specifications

Context window262K tokens
Max output66K tokens
API typechat
AddedSep 10, 2025
Model IDalibaba/qwen3-max
Data retentionNo
Used for trainingNo
Provider locationπŸ‡ΈπŸ‡¬ Singapore

Benchmarks

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

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

Pricing

Input / 1M
$0.86
Output / 1M
$3.44
Cache write
β€”
Cache read
β€”
Estimated cost
100K input + 10K output$0.12
1M input + 100K output$1.21
10M input + 1M output$12.05

Requesty charges exactly what the upstream provider charges β€” 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-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-max", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Other Alibaba Cloud models

Frequently asked questions

How much does qwen3-max cost?
qwen3-max is priced at $0.86 per million input tokens and $3.44 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 β€” we don't add markup.
What is the context window of qwen3-max?
qwen3-max has a context window of 262K tokens, with a maximum output of 66K tokens per response. That's roughly 350 words of input you can fit in a single prompt.
What can qwen3-max do?
qwen3-max supports vision input, tool calling, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use qwen3-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-max". The Quickstart above shows Python, JavaScript and cURL snippets.

Access qwen3-max through Requesty

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