Qwen3.7 Plus API

Qwen3.7-Plus is a multimodal agent model that unifies vision and language into a single agent foundation. It delivers strong vision-language capabilities while retaining agentic strength in coding, tool use, and productivity workflows, including GUI understanding, visual Q&A, and full-modality input for complex software engineering tasks.

Modalities: Text, ImageText
In / Out price: $0.32/$1.28per 1M
Context window: 1M tokens
Released: Jun 1, 2026

Qwen3.7 Plus overview

Qwen3.7 Plus by Alibaba Cloud

Qwen3-7-Plus API is a multimodal model for coding, tool use, visual reasoning, and agent-based tasks across text, image, and video.

Qwen3.7 Plus specs

Model ID: alibaba/qwen3.7-plus
Developer: Alibaba Cloud
Context window: 1,000,000 tokens
Max output: 65,536 tokens
Input: Text, Image
Output: Text
API: OpenAI-compatible, base URL https://api.aimlapi.com/v1

Architecture: what makes it capable and efficient

Qwen3.7 Plus uses a sparse Mixture-of-Experts design. Rather than activating the full parameter space on every token, the model routes each token to a small set of specialized expert sub-networks. This keeps inference compute proportional to the active parameter count, not the total model size.

Sparse MoE (mixture of experts)Each token is routed to a specialized subset of the model's expert networks. Only a fraction of total parameters are active per forward pass, which keeps latency and cost well below what a comparable dense model would require.

Native multimodal fusionText, images, and video are processed in a single forward pass. There are no separate vision adapters or preprocessing pipelines, the model was trained from scratch on multimodal tokens, allowing natural cross-modal reasoning without stitching together separate models.

Use cases

Read and explain screenshots or documents, including visual materials such as charts and tables.

Support workflow automation and tool calling.

Use web search to answer time-sensitive questions.

Help with visual-to-code or UI-related tasks.

Capabilities

Function calling
Streaming
Structured outputs
Reasoning
Web search

Qwen3.7 Plus benchmarks by Artificial Analysis

See how Qwen3.7 Plus compares in generation speed and latency. Data retrieved Nov 3, 2026.

Speed#163 / 21957.3Output tokens / second Latency#156 / 2162.40Seconds to first token Humanity's Last Exam#69 / 45835.6%Score GPQA Diamond#42 / 43990%Score

Speed

Output tokens / second

Benchmark results

Compare 8 models available on AI/ML API across 5 independent benchmarks.

Humanity's Last Exam

Expert-written questions across academic subjects.

Qwen3.7 Plus API pricing

Qwen3.7 Plus pricing in US dollars
Usage	Price	Unit
Input	$0.32	1M tokens
Output	$1.28	1M tokens
Cached input	$0.064	1M tokens

Prices from the AI/ML API price list, checked on Nov 4, 2026.

Qwen3.7 Plus vs other models: token prices

AI/ML API input and output rates for 5 models, per million tokens.

AI/ML API model prices in USD per million tokens
Model	Input	Output
Qwen3.7 Plus	$0.32	$1.28
Qwen3.8 Omni Flash	$0.15	$0.47
Qwen3.8-Flash	$0.16	$0.47
Qwen 3.8 27B	$0.4761	$3.39
Qwen3.8 Max Prime	$4.23	$12.7

How to use the Qwen3.7 Plus API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "alibaba/qwen3.7-plus",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "alibaba/qwen3.7-plus",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "alibaba/qwen3.7-plus",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

All posts

Qwen3.7 Plus FAQ

What is the context window of Qwen3.7 Plus?

Qwen3.7 Plus has a 1,000,000 tokens context window and can return up to 65,536 tokens.

What inputs and outputs does Qwen3.7 Plus support?

Qwen3.7 Plus takes image, text as input and returns text.

What is the model ID for Qwen3.7 Plus?

Use alibaba/qwen3.7-plus as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

When was Qwen3.7 Plus released?

Qwen3.7 Plus became available on June 1, 2026.

How much does Qwen3.7 Plus cost?

Qwen3.7 Plus costs $0.32 input and $1.28 output per 1M tokens on AI/ML API, billed as you go with no subscription.

Does Qwen3.7 Plus support streaming?

Yes, Qwen3.7 Plus can stream responses as they are generated.

Can Qwen3.7 Plus read images?

Yes, Qwen3.7 Plus accepts image input alongside text.

Who created Qwen3.7 Plus?

Qwen3.7 Plus was built by Alibaba Cloud.

Can Qwen3.7 Plus create images or videos?

No. Its output modality is text only; it accepts image and text input but only generates text.

Start building with Qwen3.7 Plus

Get API key

Qwen3.7 Plus API

alibaba/qwen3.7-plus

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "alibaba/qwen3.7-plus",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "alibaba/qwen3.7-plus",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "alibaba/qwen3.7-plus",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

Docs for AI agents Plain-text index · llms.txt API documentation API reference and examples

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Qwen3.7 Plus API

Qwen3.7 Plus overview

Qwen3.7 Plus by Alibaba Cloud

Qwen3.7 Plus specs

Use cases

Capabilities

Qwen3.7 Plus benchmarks by Artificial Analysis

Speed

Benchmark results

Humanity's Last Exam

GPQA Diamond

Terminal-Bench 4.0

AA-LCR

SciCode

Qwen3.7 Plus API pricing

Qwen3.7 Plus vs other models: token prices

How to use the Qwen3.7 Plus API

Build with your agent

1Get your API key

2Make your first request

Related articles

Qwen3.7 Plus FAQ

Start building with Qwen3.7 Plus

Qwen3.7 Plus API

Build with your agent

1Get your API key

2Make your first request

Qwen3.7 Plus API

Qwen3.7 Plus overview

Qwen3.7 Plus by Alibaba Cloud

Qwen3.7 Plus specs

Use cases

Capabilities

Speed

Benchmark results

Humanity's Last Exam

GPQA Diamond

Terminal-Bench 4.0

AA-LCR

SciCode

Qwen3.7 Plus API pricing

Qwen3.7 Plus vs other models: token prices

How to use the Qwen3.7 Plus API

Build with your agent

1Get your API key

2Make your first request

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