Qwen3.7 Plus: Multimodal API, Context & Pricing

Last verified: July 21, 2026. This is an independent technical guide and is not operated by or affiliated with Alibaba Cloud or the Qwen team. Confirm availability, billing, and regional requirements in the provider documentation before deployment.

Qwen3.7 Plus is Alibaba Model Studio’s recommended balanced Qwen model for general-purpose applications. It combines a one-million-token context window with text, image, and video understanding, hybrid thinking, Function Calling, built-in tools, and text output.

Its API model ID is qwen3.7-plus. Alibaba positions Plus between the higher-cost reasoning tier of Qwen3.7 Max and the lower-cost tier of Qwen3.6 Flash.

Qwen3.7 Plus specifications

Specification	Verified information
Rolling model ID	`qwen3.7-plus`
Fixed snapshot	`qwen3.7-plus-2026-05-26`
US-scope model ID	`qwen3.7-plus-us`
Input	Text, images, and video
Output	Text
Context window	Up to 1,000,000 tokens
Maximum output	Up to 64K tokens, subject to the total context budget
Maximum images	Up to 2,048 for documented URL or path workflows; Base64 requests are capped at 250
Maximum videos	Up to 64
Video limit	Up to 2 hours and 2 GB
Maximum image size	Up to 16 million pixels per image
Thinking	Hybrid; enabled by default
Function Calling	Supported
Structured output	Supported, with non-thinking mode preferred for reliable JSON

Why choose Qwen3.7 Plus?

Qwen3.7 Plus is the sensible starting point when an application needs broad capability without paying the Max rate for every request. Alibaba recommends it for chatbots, content generation, summarization, document processing, coding tools, and office-productivity workflows.

Long-document and large-codebase analysis using the 1M context window.
Image understanding, visual question answering, and information extraction.
Video understanding within the documented duration and file-size limits.
Agents that combine reasoning with custom functions or supported built-in tools.
Multistep analysis using thinking mode.
Lower-cost direct responses using non-thinking mode.

These are appropriate workload categories, not performance guarantees. Test the model with representative prompts, document formats, languages, tool definitions, and failure cases before selecting it for production.

Model alias and fixed snapshot

On the verification date, Alibaba’s pricing documentation mapped qwen3.7-plus to qwen3.7-plus-2026-05-26. The rolling alias is convenient for applications that accept provider-managed updates. The dated snapshot provides a more stable target for regression testing and controlled releases.

The separate qwen3.7-plus-us identifier is associated with the US deployment scope. A model ID, API key, workspace, and base URL must be selected from compatible deployment scopes; these values should not be mixed across regions.

Text, image, and video understanding

Qwen3.7 Plus accepts text, images, and video and returns text. It can therefore describe or analyze visual content, extract information, answer questions about images, and reason over supported video inputs. It is not documented as a native image-generation, video-generation, or audio-output model.

The published limits include up to 2,048 image items in documented URL or local-path workflows, up to 250 Base64 images, and up to 64 videos. Images can be up to 16 million pixels each. Video inputs can be up to two hours or 2 GB, subject to the provider’s file and request rules.

The 1M context window and 64K maximum output are separate specifications within one request budget. Do not advertise the model as accepting one million input tokens plus an additional 64K output without considering the total context limit.

Modality support can differ by API. Check the selected Chat Completions, Responses, Anthropic-compatible, or DashScope interface before implementing image or video input.

Hybrid thinking

Qwen3.7 Plus supports thinking and non-thinking operation in the same model family. Thinking is enabled by default.

Use thinking for complex reasoning, architecture planning, debugging, and multi-document comparisons.
Disable thinking for direct extraction, formatting, classification, and other tasks where extended reasoning is unnecessary.
Use enable_thinking with Chat Completions.
Use reasoning.effort with the Responses API.
Use streaming for a better user experience with long reasoning requests.

The API separates reasoning content from the final answer. Reasoning tokens are billed as output. Retaining previous reasoning with preserve_thinking also adds that retained content to later input billing.

Function Calling and built-in tools

Qwen3.7 Plus supports Function Calling, including workflows where a model selects from functions defined by the application. The application remains responsible for authorizing and executing each function.

Tool arguments must be validated before they are used with databases, files, private APIs, payments, or other sensitive systems.

Alibaba also documents built-in tools such as web search, code execution, and web extraction for supported configurations. Tool availability and additional charges can depend on the API, deployment scope, and account plan. Do not state that every request has web access or that all built-in tools are included without charge.

Structured JSON output

Structured output can be enabled with response_format: {"type":"json_object"}. The prompt must explicitly contain the word JSON and describe the required fields.

JSON mode is not the same as guaranteed strict JSON Schema enforcement. For reliable automation, disable thinking, parse the returned JSON, validate it against an application-owned schema, and handle failures with a controlled retry or repair step.

Qwen3.7 Plus pricing

The following prices are Singapore International list prices verified on July 21, 2026. Promotional discounts are excluded. The pricing tier is determined by the total number of input tokens in one request, and all tokens in that request are charged at the selected tier.

Input tokens per request	Input price	Output price
More than 0 and up to 256K	US$0.40 per 1M tokens	US$1.60 per 1M tokens
More than 256K and up to 1M	US$1.20 per 1M tokens	US$4.80 per 1M tokens

Singapore International list prices. The output rate applies to reasoning tokens and final-answer tokens.

An eligible International deployment activation may receive a one-million-token quota valid for 90 days after Model Studio activation. The quota is conditional, limited to eligible usage, and should not be described as permanent free access.

Batch inference may be priced at 50% of the real-time rate where supported, but its documented context limit can be 256K rather than the full 1M real-time context. The free quota does not apply to batch inference.

Node.js multimodal API example

This OpenAI-compatible Chat Completions example sends text and one image. Replace the example image URL with a file your application is authorized to process. Configure DASHSCOPE_BASE_URL for the same region and workspace as the API key.

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.DASHSCOPE_API_KEY,
  baseURL: process.env.DASHSCOPE_BASE_URL,
});

const stream = await client.chat.completions.create({
  model: "qwen3.7-plus",
  messages: [
    {
      role: "system",
      content:
        "Analyze the supplied image carefully. Separate observations from conclusions.",
    },
    {
      role: "user",
      content: [
        {
          type: "text",
          text:
            "Explain this system diagram and identify three operational risks.",
        },
        {
          type: "image_url",
          image_url: {
            url: "https://assets.example.com/system-diagram.png",
          },
        },
      ],
    },
  ],
  enable_thinking: true,
  stream: true,
  stream_options: {
    include_usage: true,
  },
});

for await (const chunk of stream) {
  const answer = chunk.choices[0]?.delta?.content;
  if (answer) process.stdout.write(answer);
}

For reproducible production tests, change the model ID to qwen3.7-plus-2026-05-26. Add input validation, file-type checks, size limits, timeouts, usage logging, and output moderation according to the application’s risk level.

Limitations and unsupported claims

Qwen3.7 Plus is not documented as an open-weight or self-hosted model.
No official parameter count, expert count, training-token total, or local GPU requirement is published for this model ID.
Its documented output is text; do not claim native image, video, or audio generation.
Audio input and output are not listed among its supported modalities.
Built-in tool support does not mean every tool is available through every API and region.
Function Calling does not execute custom tools without application code.
JSON mode should not be presented as guaranteed strict JSON Schema compliance.
Free quotas, rate limits, and deployment scopes are not universal.
Do not publish temporary promotional pricing as the permanent model price.

Qwen3.7 Plus FAQ

Does Qwen3.7 Plus support one million tokens?

Yes. Alibaba publishes a context window of up to one million tokens. Input, conversation history, reasoning, tool results, and generated output must remain within the applicable request budget.

Can Qwen3.7 Plus process images and video?

Yes. Its documented inputs are text, images, and video, while its output is text. File, item-count, duration, and interface restrictions still apply.

Does Qwen3.7 Plus generate images?

Not as a native model output. Its documented output modality is text. A separately provided image-generation tool is a platform tool, not native image output from Qwen3.7 Plus.

Is Qwen3.7 Plus better than Qwen3.7 Max?

They target different priorities. Alibaba positions Max for the strongest reasoning and Plus for a balance of performance and cost. Plus also has clearly documented image and video input support through its primary model family.

Is Qwen3.7 Plus free?

It is a paid token-based Model Studio service. Eligible International activations may receive a limited one-million-token quota valid for 90 days, subject to Alibaba’s quota conditions.

Official references

Explore the Qwen model directory, the independent Qwen API guide, or the pricing comparison.

Qwen3.7 Plus: Multimodal 1M-Context Model Guide