Qwen3 VL 235B A22B Thinking vs GPT-4o Mini
Compare Qwen3 VL 235B A22B Thinking and GPT-4o Mini side-by-side. See comparisons of price, response speed, accuracy, and file support to choose the best model for your task.
Overview
Qwen3 VL 235B A22B Thinking vs GPT-4o Mini Overview
Everything you need to know about these AI models, including capabilities, performance, pricing, and technical details.
Qwen / Qwen3 VL 235B A22B Thinking
proDescription
Alibaba’s vision-language reasoning model, built to think about what it sees. This is the reasoning-tuned edition of Qwen3-VL, producing a visible chain of thought before answering. It reads text, images, and video, and is aimed squarely at visual STEM work: physics diagrams, scientific charts, geometry, and reasoning across sequences of images. Open-weight, and strongest where surface pattern-matching is not enough.
OpenAI / GPT-4o Mini
lightDescription
OpenAI's older small model was built for fast, cheap, focused tasks. GPT-4o Mini reads text and images and handles classification, extraction, translation, and short-form generation well. It is affordable and reliable for simple work, but it is now several generations old, with a modest feature set and outdated knowledge. OpenAI itself recommends newer small models for anything demanding.
About
About
Capabilities
Capabilities
Comparison
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Qwen / Qwen3 VL 235B A22B Thinking
proCoding From Visuals
The Qwen3-VL family turns screenshots and mockups into working code, generating HTML, CSS, and JavaScript from a design. This thinking variant is tuned more for reasoning than raw coding, so treat coding as a secondary strength.
Visible Reasoning On Images
Its core capability. It generates an extended chain of thought before answering, so on multi-step visual problems you can follow how it read the image and reached its conclusion, rather than trusting the result.
Long Multimodal Context
Holds a large context that accommodates interleaved text, images, and video. Alibaba reports strong retrieval accuracy across very long video inputs, so it keeps its bearings across extended visual sequences.
Structured Visual Analysis
Reads numerical values from diagrams, interprets multi-axis charts, and compares results across several images. Suited to producing structured findings from visual source material rather than long-form prose.
STEM And Scientific Reasoning
Tuned for mathematics and science presented visually: geometry figures, physics diagrams, chemistry structures, and causal inference across image sequences. Strongest when the reasoning has to work from what is shown. No native web search.
Text Image Video
Reads text, images, and video natively, using timestamp alignment to reason about when events happen in a video. Output is text. A genuinely strong multimodal input range, though it does not accept audio.
OpenAI / GPT-4o Mini
lightLightweight Coding Tasks
Suited to simple, well-scoped coding help, such as small scripts and quick fixes. Not built for complex engineering, OpenAI now points to newer small models for anything beyond focused tasks.
No-Reasoning Answers
A fast model with no reasoning step, so it answers directly rather than deliberating. Reliable on straightforward instructions, and less suited to multi-step problems that need worked-through logic.
A Modest Context Window
Handles a smaller window than current models, enough for everyday documents and conversations but not the large codebases or long document sets that newer models take in one pass.
Structured Short-Form Output
Strong at extracting structured data and drafting short content like email replies from thread history. Built for focused, repetitive text work rather than long-form or polished writing.
Analysis On Older Knowledge
Its training data is well behind current models, so it is fine for processing text you supply but weak on recent events, which need live sources rather than the model's own knowledge.
Text And Image Input
Reads text and images, so you can send screenshots or scanned pages alongside your prompt. Output is text only. OpenAI states audio and video are not supported.
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