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qwen-plus

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique ability to switch seamlessly between a thinking mode for complex reasoning and a non-thinking mode for efficient dialogue ensures versatile, high-quality performance. Significantly outperforming prior models like QwQ and Qwen2.5, Qwen3 delivers superior mathematics, coding, commonsense reasoning, creative writing, and interactive dialogue capabilities. The Qwen3-30B-A3B variant includes 30.5 billion parameters (3.3 billion activated), 48 layers, 128 experts (8 activated per task), and supports up to 131K token contexts with YaRN, setting a new standard among open-source models.

Tool callingJSON schema
Try qwen-plusCompareDocs

Specifications

Context window131K tokens
Max outputN/A
API typechat
AddedApr 28, 2025
Model IDalibaba/qwen-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
$0.40
Output / 1M
$1.20
Cache write
N/A
Cache read
N/A
Estimated cost
100K input + 10K output$0.0520
1M input + 100K output$0.52
10M input + 1M output$5.20

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

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

Other Alibaba Cloud models

qwen3.7-plus
1.0M ctx$0.32/1M
Coding 47
qwen3.6-plus
1M ctx$0.50/1M
Coding 43
qwen3.7-max
1.0M ctx$2.50/1M
Coding 50
qwen3-max
262K ctx$0.86/1M
Coding 31
qwen3-30b-a3b-instruct-2507
131K ctx$0.20/1M
qwen3-coder-plus
1.0M ctx$1.00/1M

Frequently asked questions

How much does qwen-plus cost?
qwen-plus is priced at $0.40 per million input tokens and $1.20 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of qwen-plus?
qwen-plus has a context window of 131K tokens. That's roughly 175 words of input you can fit in a single prompt.
What can qwen-plus do?
qwen-plus supports tool calling, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use qwen-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/qwen-plus". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run qwen-plus through Requesty?
Yes. qwen-plus runs through Requesty's OpenAI-compatible API, served from Alibaba Cloud. You do not host the model yourself: point base_url at Requesty, set the model to "alibaba/qwen-plus", and requests are routed to the upstream provider with automatic failover. The same key gives you 400+ other models too.

Access qwen-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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