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qwen3-235b-a22b-thinking-2507

⚡ Run with API

Qwen3-235B-A22B-Thinking-2507 is a high-performance open-weight Mixture-of-Experts model optimized for complex reasoning. It activates 22B of its 235B parameters per forward pass.

Pricing: Input 108 credits / 1M tokens (≈ $0.54), Output 840 credits / 1M tokens (≈ $4.20).

Prices updated

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This demo page does not include the full memory features of the client. For the complete experience, please use the client or the CLI.

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README
Complete guide to using Qwen3 235B A22B Thinking 2507

Qwen3 235B A22B Thinking 2507 API on ModelFold

Qwen3-235B-A22B-Thinking-2507 is a high-performance open-weight Mixture-of-Experts model optimized for complex reasoning. It activates 22B of its 235B parameters per forward pass. Try Qwen3 235B A22B Thinking 2507 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.

What Is the Qwen3 235B A22B Thinking 2507 API

Qwen3 235B A22B Thinking 2507 at a glance

Qwen3 235B A22B Thinking 2507 is a chat model from Qwen. It accepts text as input and returns text, with a context window of up to 128K tokens.

Use it without hosting anything

On ModelFold you call Qwen3 235B A22B Thinking 2507 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 235B A22B Thinking 2507

Up to 128K 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.

Function calling

Qwen3 235B A22B Thinking 2507 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 235B A22B Thinking 2507 can produce reasoning before its final answer; in the Playground you can switch reasoning on or off to compare results.

How to Use Qwen3 235B A22B Thinking 2507 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 235B A22B Thinking 2507 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": "qwen3-235b-a22b-thinking-2507" 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 235B A22B Thinking 2507

Analysis and complex reasoning

Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.

Long-document workflows

Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.

AI coding assistants

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

Tool-calling backends

Route requests, call functions and chain API calls as the worker model inside larger agent systems.

Frequently Asked Questions

What is Qwen3 235B A22B Thinking 2507?⌄

Qwen3-235B-A22B-Thinking-2507 is a high-performance open-weight Mixture-of-Experts model optimized for complex reasoning. It activates 22B of its 235B parameters per forward pass.

Which inputs does Qwen3 235B A22B Thinking 2507 support?⌄

Qwen3 235B A22B Thinking 2507 accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.

How long is the context window of Qwen3 235B A22B Thinking 2507?⌄

Up to 128K tokens, shared between your input and the model’s output.

Does Qwen3 235B A22B Thinking 2507 support function calling?⌄

Yes. Qwen3 235B A22B Thinking 2507 supports tools / function calling through the standard tools parameter of the chat completions API.

How is Qwen3 235B A22B Thinking 2507 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 235B A22B Thinking 2507 through the API?⌄

Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "qwen3-235b-a22b-thinking-2507", using your ModelFold API key as the Bearer token.

Rate card
Input108 credits 1M tokens≈ $0.54
Output840 credits 1M tokens≈ $4.20

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":"qwen3-235b-a22b-thinking-2507","messages":[{"role":"user","content":"Hello"}]}'