Qwen3 VL 235B A22B Instruct

by Alibaba

Qwen3 VL 235B A22B Instruct is the largest model in Alibaba's Qwen3 VL series, combining 235 billion parameters with mixture-of-experts efficiency (about 22B activated) for text, image, and video understanding. With a 131K context window, it handles long documents, video analysis, and full-page screenshots. The model targets visual agent tasks, including PC and mobile GUI automation, code generation from design mockups, document parsing with 32-language OCR, and spatial reasoning. Its text understanding aligns closely with the pure Qwen3 235B language model, while architectural features such as Interleaved-MRoPE and DeepStack feature fusion integrate visual information. It is well suited to computer vision agents, document processing pipelines, video analysis, and multimodal RAG. The open-weight release enables local deployment, fine-tuning, and integration into vision-based automation.

Key info

Input
Output
Features
Context window
262K
Max output
262K
Input price
$0.20 /1M
Output price
$0.88 /1M
  • US residency available
  • Zero data retention via Enterprise
  • No training by default
  • GDPR DPA available

Available routes

Qwen3 VL 235B A22B Instruct runs on 2 different routes through the Opper gateway. Compare residency, ZDR, and training posture at a glance β€” full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
USEnterpriseNo$0.20$0.88
USEnterpriseNo$0.30$1.50

Training posture across routes: No training on prompts by default.

Data handling per route

Each route hosting Qwen3 VL 235B A22B Instruct has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

DeepInfra β€” United StatesπŸ‡ΊπŸ‡Έ

Zero data retention is available via Opper Enterprise contract. No training on customer data. US; unknown.

Zero data retention
Available via Opper Enterprise contract.
Training
No training on customer data.
Logging
Limited debug logs
Third-party access
None disclosed
GDPR DPA
No DPA
Transfer mechanism
unknown

Novita β€” United StatesπŸ‡ΊπŸ‡Έ

Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.

Zero data retention
Available via Opper Enterprise contract.
Training
No training on customer data.
Logging
Abuse monitoring
Third-party access
None disclosed
GDPR DPA
DPA available
Transfer mechanism
SCCs

Benchmarks

Independent benchmark scores β€” composite indices for reasoning, coding, and math, plus individual eval scores where available.

Global rank#259 of 534 LLMs
TierEfficient
Output speed50 tok/s
First token1.21s
Intelligence Index14.3
Math Index70.7
Reasoning & knowledge
MMLU-Pro
82%
GPQA Diamond
71%
Humanity's Last Exam
6%
Long-context reasoning
32%
Coding
LiveCodeBench
59%
SciCode
36%
Agentic & tool use
Terminal-Bench Hard
7%
τ²-Bench Telecom
35%
Math & instruction following
AIME 2025
71%
IFBench
43%

Get started

Call Qwen3 VL 235B A22B Instruct through the Opper gateway with one API key. Let your coding agent set it up, or call it directly β€” Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into your coding agent β€” Claude Code, Cursor, Codex, and more β€” and it'll wire up Opper for you.

Or call it directly

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.OPPER_API_KEY,
baseURL: "https://api.opper.click/v3/compat",
});
const completion = await client.chat.completions.create({
model: "deepinfra/Qwen/Qwen3-VL-235B-A22B-Instruct",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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Qwen3 VL 235B A22B Instruct by Alibaba β€” pricing, benchmarks | Opper AI