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qwen3.6-plus

Qwen3.6-Plus is Alibaba's flagship with hybrid attention and sparse MoE architecture. Features 1M-token native context with always-on reasoning and near-frontier performance on coding and agentic benchmarks.

🧠Reasoning🔧Tool calling⚡Caching
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Specifications

Context window1M tokens
Max output66K tokens
API typechat
AddedMay 27, 2026
Model IDalibaba/qwen3.6-plus
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
$0.50
Output / 1M
$3.00
Cache write / 1M
$0.63
Cache read / 1M
$0.05
Estimated cost
100K input + 10K output$0.0800
1M input + 100K output$0.80
10M input + 1M output$8.00

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/qwen3.6-plus.

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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/qwen3.6-plus",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other Alibaba Cloud models

qwen2.5-vl-72b-instruct
131K ctx$2.80/1M
qwen2.5-vl-32b-instruct
131K ctx$1.40/1M
qwen3.7-max
1.0M ctx$2.50/1M
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

Frequently asked questions

How much does qwen3.6-plus cost?
qwen3.6-plus is priced at $0.50 per million input tokens and $3.00 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 qwen3.6-plus?
qwen3.6-plus has a context window of 1M tokens, with a maximum output of 66K tokens per response. That's roughly 1,333 words of input you can fit in a single prompt.
What can qwen3.6-plus do?
qwen3.6-plus supports tool calling, extended reasoning, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use qwen3.6-plus 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/qwen3.6-plus". The Quickstart above shows Python, JavaScript and cURL snippets.

Access qwen3.6-plus 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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