LangMart: Qwen: Qwen3 VL 235B A22B Thinking
Model Overview
| Property | Value |
|---|---|
| Model ID | openrouter/qwen/qwen3-vl-235b-a22b-thinking |
| Name | Qwen: Qwen3 VL 235B A22B Thinking |
| Provider | qwen |
| Released | 2025-09-23 |
Description
Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math. 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.
Description
LangMart: Qwen: Qwen3 VL 235B A22B Thinking is a language model provided by qwen. This model offers advanced capabilities for natural language processing tasks.
Provider
qwen
Specifications
| Spec | Value |
|---|---|
| Context Window | 262,144 tokens |
| Modalities | text+image->text |
| Input Modalities | text, image |
| Output Modalities | text |
Pricing
| Type | Price |
|---|---|
| Input | $0.30 per 1M tokens |
| Output | $1.20 per 1M tokens |
Capabilities
- Frequency penalty
- Include reasoning
- Max tokens
- Presence penalty
- Reasoning
- Repetition penalty
- Response format
- Seed
- Stop
- Structured outputs
- Temperature
- Tool choice
- Tools
- Top k
- Top p
Detailed Analysis
Qwen3-VL-235B-A22B-Thinking is the reasoning-enabled variant of the flagship Qwen3-VL MoE model, combining frontier multimodal capabilities with transparent reasoning. Key characteristics: (1) Architecture: 235B total parameters with ~22B activated per token plus explicit reasoning mode; full MoE architecture with Qwen3-VL enhancements and toggleable /think and /no_think tokens for controlling reasoning output; (2) Capabilities: Absolute maximum vision-language capabilities matching Gemini 2.5 Pro and GPT-4V, with reasoning transparency showing step-by-step visual understanding, spatial reasoning, temporal analysis, and decision-making process; demonstrates how 235B-scale expertise is activated and combined for complex multimodal tasks; (3) Performance: Frontier-level results on all major benchmarks with reasoning mode improving accuracy on complex visual reasoning, multi-step visual problem solving, and explainable visual decision-making; (4) Use Cases: Research-grade explainable visual AI, high-stakes decision support requiring full audit trails (medical imaging, autonomous systems safety, legal document analysis), educational demonstrations of frontier multimodal reasoning, debugging and understanding cutting-edge vision systems; (5) Context Window: 256K tokens extensible to 1M (reasoning consumes additional context); (6) Trade-offs: Highest capability and transparency but also highest computational cost due to scale + reasoning overhead. Best for applications where maximum multimodal capability AND full reasoning transparency are both critical requirements - the pinnacle of explainable vision-language AI.