qwen3-235b-a22b-2507
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts model with 22B active parameters per forward pass, optimized for general-purpose text generation and instruction following.
料金： 入力：100 万トークンあたり 33.6 クレジット（約 $0.17）、出力：100 万トークンあたり 192 クレジット（約 $0.96）。
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このデモページにはクライアントの完全な記憶機能はありません。すべての機能をご利用いただくには、クライアントまたは CLI から接続してください。
Qwen のほかの AI モデル
Qwen3 235B A22B Instruct 2507 API on ModelFold
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts model with 22B active parameters per forward pass, optimized for general-purpose text generation and instruction following. Try Qwen3 235B A22B Instruct 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 Instruct 2507 API
Qwen3 235B A22B Instruct 2507 at a glance
Qwen3 235B A22B Instruct 2507 is a chat model from Qwen. It accepts text as input and returns text, with a context window of up to 262K tokens.
Use it without hosting anything
On ModelFold you call Qwen3 235B A22B Instruct 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 Instruct 2507
Up to 262K 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 Instruct 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.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Qwen3 235B A22B Instruct 2507 on ModelFold
- 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 Instruct 2507 responds before writing any code.
- 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
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "qwen3-235b-a22b-2507" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
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 Instruct 2507
Multilingual products
Serve users in many languages with translation, localized support replies and cross-language search.
Writing and content
Draft, edit and translate articles, emails, product copy and documentation in a consistent tone.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
Frequently Asked Questions
What is Qwen3 235B A22B Instruct 2507?⌄
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts model with 22B active parameters per forward pass, optimized for general-purpose text generation and instruction following.
Which inputs does Qwen3 235B A22B Instruct 2507 support?⌄
Qwen3 235B A22B Instruct 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 Instruct 2507?⌄
Up to 262K tokens, shared between your input and the model’s output.
Does Qwen3 235B A22B Instruct 2507 support function calling?⌄
Yes. Qwen3 235B A22B Instruct 2507 supports tools / function calling through the standard tools parameter of the chat completions API.
How is Qwen3 235B A22B Instruct 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 Instruct 2507 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "qwen3-235b-a22b-2507", using your ModelFold API key as the Bearer token.
| 入力 | 33.6 クレジット 1M tokens≈ $0.17 |
| 出力 | 192 クレジット 1M tokens≈ $0.96 |
トークン単位で課金し、入力と出力は別料金です。思考トークンは出力に含まれます。Playground でも同じ計算を使います。
API ドキュメントを見る →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"qwen3-235b-a22b-2507","messages":[{"role":"user","content":"Hello"}]}'