LangMart: Qwen: Qwen3 VL 235B A22B Instruct
Model Overview
| Property | Value |
|---|---|
| Model ID | openrouter/qwen/qwen3-vl-235b-a22b-instruct |
| Name | Qwen: Qwen3 VL 235B A22B Instruct |
| Provider | qwen |
| Released | 2025-09-23 |
Description
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.
Description
LangMart: Qwen: Qwen3 VL 235B A22B Instruct 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 | $0.20 per 1M tokens |
| Output | $1.20 per 1M tokens |
Capabilities
- Frequency penalty
- Logit bias
- Logprobs
- Max tokens
- Min p
- Presence penalty
- Repetition penalty
- Response format
- Seed
- Stop
- Structured outputs
- Temperature
- Tool choice
- Tools
- Top k
- Top logprobs
- Top p
Detailed Analysis
Qwen3-VL-235B-A22B-Instruct is the flagship Mixture-of-Experts vision-language model from the Qwen 3 series, representing state-of-the-art multimodal AI with efficient inference. Released September 2025. Key characteristics: (1) Architecture: 235B total parameters with ~22B activated per forward pass (A22B), achieving ~83% compute reduction vs hypothetical dense 235B model while maintaining frontier capabilities; includes all Qwen3-VL innovations (Interleaved-MRoPE for temporal reasoning, DeepStack for fine-grained features, text-timestamp alignment) with global-batch load balancing encouraging expert specialization; (2) Capabilities: SOTA performance on major multimodal benchmarks, matching or exceeding Gemini 2.5 Pro and GPT-4V; best-in-class 32-language OCR, sophisticated visual agent functionality operating computer/mobile GUIs autonomously, multi-hour video understanding with precise event localization, advanced document parsing including complex tables/formulas/music sheets, pixel-level object detection; (3) Performance: Frontier-level vision-language understanding with compute efficiency; excels at complex spatial reasoning, temporal understanding, and multimodal fusion; (4) Use Cases: Enterprise-scale document processing, advanced visual agents and automation, research-grade multimodal AI, long-form video analysis, complex visual reasoning requiring maximum capability; (5) Context Window: 256K tokens, extensible to 1M; (6) Trade-offs: Cutting-edge model, highest capability in Qwen VL lineup. Best for applications requiring absolute maximum multimodal capability with optimized inference cost through sparse activation architecture.