AI Tools Review

Qwen: Qwen3 VL 235B A22B Instruct

By Qwen

Released: 2025-09-23

API
LLM
RAG
Qwen
Paid
New

Qwen Qwen3 Vl 235B A22B Instruct, developed by Alibaba Qwen, features 235B parameters and 262k-token context window. Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table extraction, multilingual OCR). The series emphasizes robust perception (recognition of diverse real-world and synthetic categories), spatial understanding (2D/3D grounding), and long-form visual comprehension, with competitive results on public multimodal benchmarks for both perception and reasoning. Beyond analysis, Qwen3-VL supports agentic interaction and tool use: it can follow complex instructions over multi-image, multi-turn dialogues; align text to video timelines for precise temporal queries; and operate GUI elements for automation tasks. The models also enable visual coding workflows—turning sketches or mockups into code and assisting with UI debugging—while maintaining strong text-only performance comparable to the flagship Qwen3 language models. This makes Qwen3-VL suitable for production scenarios spanning document AI, multilingual OCR, software/UI assistance, spatial/embodied tasks, and research on vision-language agents. Available at $0.2/1M tokens.

Visit Qwen: Qwen3 VL 235B A22B Instruct

AI-Powered

Leverages advanced AI technology to deliver cutting-edge capabilities and results.

Fast & Efficient

Optimized performance ensures quick results without compromising on quality.

Purpose-Built

Specifically designed for llms tasks and workflows.

Qwen Model Timeline

Qwen: Qwen3 VL 32B Instruct

262k tokens context

Qwen: Qwen3 VL 8B Thinking

256k tokens context

Qwen: Qwen3 VL 8B Instruct

131k tokens context

Qwen: Qwen3 VL 30B A3B Thinking

131k tokens context

Qwen: Qwen3 VL 30B A3B Instruct

262k tokens context

Qwen: Qwen3 VL 235B A22B Thinking

262k tokens context

Qwen: Qwen3 VL 235B A22B InstructCurrent

262k tokens context

Qwen: Qwen3 Max

256k tokens context

Qwen: Qwen3 Coder Plus

128k tokens context

Qwen: Qwen3 Coder Flash

128k tokens context

Qwen: Qwen3 Next 80B A3B Thinking

128k tokens context

Qwen: Qwen3 Next 80B A3B Instruct (free)

262k tokens context

Qwen: Qwen3 Next 80B A3B Instruct

262k tokens context

Qwen: Qwen Plus 0728

1,000k tokens context

Qwen: Qwen Plus 0728 (thinking)

1,000k tokens context

Qwen: Qwen3 30B A3B Thinking 2507

33k tokens context

Qwen: Qwen3 Coder 30B A3B Instruct

160k tokens context

Qwen: Qwen3 30B A3B Instruct 2507

262k tokens context

Qwen: Qwen3 235B A22B Thinking 2507

262k tokens context

Qwen: Qwen3 Coder 480B A35B (free)

262k tokens context

Qwen: Qwen3 Coder 480B A35B

262k tokens context

Qwen: Qwen3 Coder 480B A35B (exacto)

262k tokens context

Qwen: Qwen3 235B A22B Instruct 2507

262k tokens context

Qwen: Qwen3 4B (free)

41k tokens context

Qwen: Qwen3 30B A3B

41k tokens context

Qwen: Qwen3 8B

32k tokens context

Qwen: Qwen3 14B

41k tokens context

Qwen: Qwen3 32B

41k tokens context

Qwen: Qwen3 235B A22B

41k tokens context

Qwen: Qwen2.5 Coder 7B Instruct

33k tokens context

Qwen: Qwen2.5 VL 32B Instruct

16k tokens context

Qwen: QwQ 32B

33k tokens context

Qwen: Qwen VL Plus

8k tokens context

Qwen: Qwen VL Max

131k tokens context

Qwen: Qwen-Turbo

1,000k tokens context

Qwen: Qwen2.5 VL 72B Instruct

33k tokens context

Qwen: Qwen-Plus

131k tokens context

Qwen: Qwen-Max

33k tokens context

Qwen2.5 Coder 32B Instruct

33k tokens context

Qwen: Qwen2.5 7B Instruct

33k tokens context

Qwen2.5 72B Instruct

33k tokens context

Qwen: Qwen2.5-VL 7B Instruct (free)

33k tokens context

Qwen: Qwen2.5-VL 7B Instruct

33k tokens context

Specifications

pricing$0.20 / $1.20 (per 1M)
context Window262k tokens

AI Evaluation

4.8
Expert Rating
Text4.9/5
Coding3.5/5

Combines language understanding with search capabilities. Excels at finding and synthesizing information from various sources.

Pros

  • Competitive pricing ($0.2/1M)
  • 262k token context window
  • Large-scale 235B architecture
  • Strong code generation and debugging

Cons

  • Requires substantial compute
  • May lack creative flair