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⚡ Run with API

Qwen3.7-Plus is a cost-effective model in Alibaba’s Qwen3.7 series. It takes text and image input with text output, adding a broad upgrade in visual capability on top of the series’ text skills.

Pricing: Input 64 credits / 1M tokens (≈ $0.32), Output 256 credits / 1M tokens (≈ $1.28).

Prices updated

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README
Complete guide to using Qwen3.7 Plus

Qwen3.7 Plus API on ModelFold

Qwen3.7-Plus is a cost-effective model in Alibaba’s Qwen3.7 series. It takes text and image input with text output, adding a broad upgrade in visual capability on top of the series’ text skills. Try Qwen3.7 Plus in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.

What Is the Qwen3.7 Plus API

Qwen3.7 Plus at a glance

Qwen3.7 Plus is a chat model from Qwen. It accepts text and images as input and returns text, with a context window of up to 1M tokens.

Use it without hosting anything

On ModelFold you call Qwen3.7 Plus with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.

Core Capabilities of Qwen3.7 Plus

Up to 1M tokens of context

Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.

Understands images

Besides text, Qwen3.7 Plus accepts images as input, so a single request can combine instructions with visual or other media.

Function calling

Qwen3.7 Plus supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.

Reasoning mode

Qwen3.7 Plus can produce reasoning before its final answer; in the Playground you can switch reasoning on or off to compare results.

Structured outputs

Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.

How to Use Qwen3.7 Plus on ModelFold

  1. 1

    Step 1: Try it in the Playground

    Open the Playground at the top of this page, type a prompt and see how Qwen3.7 Plus responds before writing any code.

  2. 2

    Step 2: Create an API key

    Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.

  3. 3

    Step 3: Send a request

    Call POST https://modelfold.ai/v1/chat/completions with "model": "qwen3-7-plus" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.

  4. ✓

    Step 4: Ship and monitor

    Integrate the response into your product and check token usage and spend for every call in the console logs.

What You Can Build with Qwen3.7 Plus

Screenshot and image understanding

Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.

Autonomous agents

Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.

High-volume pipelines

Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.

AI coding assistants

Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.

Frequently Asked Questions

What is Qwen3.7 Plus?⌄

Qwen3.7-Plus is a cost-effective model in Alibaba’s Qwen3.7 series. It takes text and image input with text output, adding a broad upgrade in visual capability on top of the series’ text skills.

Which inputs does Qwen3.7 Plus support?⌄

Qwen3.7 Plus accepts text and images and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.

How long is the context window of Qwen3.7 Plus?⌄

Up to 1M tokens, shared between your input and the model’s output.

Does Qwen3.7 Plus support function calling?⌄

Yes. Qwen3.7 Plus supports tools / function calling through the standard tools parameter of the chat completions API.

How is Qwen3.7 Plus billed on ModelFold?⌄

Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.

How do I call Qwen3.7 Plus through the API?⌄

Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "qwen3-7-plus", using your ModelFold API key as the Bearer token.

Rate card
Input64 credits 1M tokens≈ $0.32
Output256 credits 1M tokens≈ $1.28

Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.

Read API docs →AI Agents · Claude Code / Cursor / Trae →
Quick start
POST/v1/chat/completions
curl https://modelfold.ai/v1/chat/completions \
  -H "Authorization: Bearer $MODELFOLD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen3-7-plus","messages":[{"role":"user","content":"Hello"}]}'