Alibaba

Qwen3-VL-235B-A22B-Instruct

Text

Retired Retired on 2026-10-10.

Qwen3-VL vision MoE with direct answers; 131K context; image input via OpenAI-compatible API

Retired Qwen3-VL-235B-A22B-Instruct API reference →

Get API Key

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runapi.ai

# Base URL
https://runapi.ai

# Endpoints
POST /v1/chat/completions
POST /v1/responses
POST /v1/messages
POST /v1beta/models/qwen3-vl-235b-a22b-instruct:generateContent
POST /v1beta/models/qwen3-vl-235b-a22b-instruct:streamGenerateContent

curl https://runapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $RUNAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "qwen3-vl-235b-a22b-instruct",
  "messages": [
    {
      "role": "user",
      "content": "Read this screenshot of a failing dashboard, explain what the error message means, and suggest the code change that would fix it."
    }
  ]
}'

from openai import OpenAI

client = OpenAI(
    base_url="https://runapi.ai/v1",
    api_key="your-runapi-key"
)

response = client.chat.completions.create(
    model="qwen3-vl-235b-a22b-instruct",
    messages=[{"role": "user", "content": "Read this screenshot of a failing dashboard, explain what the error message means, and suggest the code change that would fix it."}]
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://runapi.ai/v1",
  apiKey: "your-runapi-key"
});

const response = await client.chat.completions.create({
  model: "qwen3-vl-235b-a22b-instruct",
  messages: [{ role: "user", content: "Read this screenshot of a failing dashboard, explain what the error message means, and suggest the code change that would fix it." }]
});

https://runapi.ai 5 endpoints

9 versions available

OVERVIEW

What Qwen3-VL-235B-A22B-Instruct is built for

Qwen3-VL-235B-A22B-Instruct is the non-thinking version of Qwen3-VL, the flagship vision-language model family from Alibaba Qwen. It is a Mixture-of-Experts model with 235B total parameters and 22B active per token, released with open weights under Apache 2.0 on September 23, 2025. Alibaba describes its strengths as visual coding, spatial perception, long-video understanding, and OCR.

It answers directly, with no reasoning step before the reply. Alibaba's API serves it with a 131,072-token context window and up to 32,768 output tokens.

On RunAPI, call qwen3-vl-235b-a22b-instruct through the OpenAI-compatible Chat Completions endpoint (/v1/chat/completions) with an OpenAI SDK pointed at https://runapi.ai/v1. Images go in image_url parts inside messages[].content[]. Alibaba now lists Qwen3-VL among its previous-generation models, and the Qwen3.5 and Qwen3.6 models read images natively.

Model ID

qwen3-vl-235b-a22b-instruct

Released

September 23, 2025

Architecture

MoE, 235B total / 22B active, Apache 2.0 weights

Context window

131,072 tokens

Max output

32,768 tokens

Thinking

None (direct answers)

Endpoint on RunAPI

OpenAI Chat Completions, text and image input

Specifications

Provider	Alibaba
Model ID	qwen3-vl-235b-a22b-instruct
Modality	Text
Task types	Synchronous
API endpoint	/v1/chat/completions
	/v1/responses

	/v1/messages
	/v1beta/models/qwen3-vl-235b-a22b-instruct:generateContent
	/v1beta/models/qwen3-vl-235b-a22b-instruct:streamGenerateContent
Billing unit	1K tokens
Catalog status	Retired

HOW IT WORKS

Use This Model in 3 Steps

Get Your Key

Sign up for free and create an API key for qwen3-vl-235b-a22b-instruct from the dashboard.
Send a Request

POST to /v1/chat/completions with the qwen3-vl-235b-a22b-instruct model slug and your parameters.
Get Results

Read the completed qwen3-vl-235b-a22b-instruct response directly from the endpoint.

What this model offers

Endpoint coverage

Exposes 1 public endpoint(s): chat_completion.

Usage-based billing

Metered by 1K tokens with no subscription requirement.

API REFERENCE

Endpoint Specification

Endpoint: POST /v1/chat/completions
Model ID: qwen3-vl-235b-a22b-instruct
Task Types: chat_completion

Request parameters

No request parameters are published for this endpoint.

USE CASES

Customer support

Answer customer questions from a private knowledge base, reducing ticket volume.

Document analysis

Draft contract summaries and flag key clauses for attorney review.

Code generation

Auto-generate unit tests, code reviews, and refactoring suggestions in CI.

FAQ

Frequently asked questions about Qwen3-VL-235B-A22B-Instruct

What is Qwen3-VL-235B-A22B-Instruct good at?

Alibaba positions it for visual coding, such as turning a screenshot or mockup into code, spatial perception, long-video understanding, and OCR. Because it skips the reasoning step, it suits image tasks where you want the answer directly.

Should I pick the Instruct or the Thinking version?

Pick qwen3-vl-235b-a22b-instruct for direct answers about images and documents. Pick qwen3-vl-235b-a22b-thinking for multi-step visual reasoning such as math or science problems in images; it always reasons before answering.

How do I send images to this model on RunAPI?

Send a Chat Completions request with image_url parts alongside the text in messages[].content[]. Alibaba also lists video input; video requests are not verified on RunAPI.

Is Qwen3-VL still a current Qwen model?

Alibaba still serves it, but lists Qwen3-VL among its previous-generation models. The Qwen3.5 and Qwen3.6 models on RunAPI accept images natively and have a larger 262,144-token context window.

How do I select qwen3-vl-235b-a22b-instruct?

Pass the model ID shown in the quickstart.

What's the rate limit on this variant?

Per-key rate limits scale with your usage tier. The pricing page shows current limits. If you need higher throughput, contact support to discuss tier upgrades.

Can I switch variants later?

Yes. Variant is a parameter in the request. Switch by changing the model ID — no code changes, no re-authentication, no separate billing setup. All variants share the same API key and request shape.

Does it stream?

Where streaming is available, RunAPI streams end-to-end. LLM models support token-level streaming. Media models use async task polling or webhook callbacks for result delivery.

Where do I report quality issues?

Open an issue on the public GitHub repo or email support at [email protected]. Include the task ID and model ID so the team can investigate the specific generation.

Do I need a separate provider account?

No. Your RunAPI API key is enough to access this variant and every other model in the catalog. You do not need accounts with the underlying provider.

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