Model Comparison

Qwen2.5 VL 32B Instruct vs Qwen3 VL 235B A22B ThinkingWhich is better in 2026?

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.

Verdict: Qwen2.5 VL 32B Instruct vs Qwen3 VL 235B A22B Thinking — which is better?

Qwen2.5 VL 32B Instruct (by Alibaba Cloud / Qwen Team) and Qwen3 VL 235B A22B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Qwen2.5 VL 32B Instruct outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 15 benchmarks (CC-OCR, CharadesSTA, LVBench, MathVision, MathVista-Mini, MMLU, MMLU-Pro, MMMU-Pro, MMStar, OCRBench-V2 (en), OCRBench-V2 (zh), OSWorld, ScreenSpot, ScreenSpot Pro, VideoMME w/o sub.). Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.

Choose Qwen2.5 VL 32B Instruct if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Choose Qwen3 VL 235B A22B Thinking if…

  • you want the strongest raw capability — it leads on 15 of 15 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025
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Performance Benchmarks

Comparative analysis across standard metrics

15 benchmarks

Qwen2.5 VL 32B Instruct outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 15 benchmarks (CC-OCR, CharadesSTA, LVBench, MathVision, MathVista-Mini, MMLU, MMLU-Pro, MMMU-Pro, MMStar, OCRBench-V2 (en), OCRBench-V2 (zh), OSWorld, ScreenSpot, ScreenSpot Pro, VideoMME w/o sub.).

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

202.5B diff

Qwen3 VL 235B A22B Thinking has 202.5B more parameters than Qwen2.5 VL 32B Instruct, making it 604.5% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
33.5Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
236.0Bparameters
33.5B
Qwen2.5 VL 32B Instruct
236.0B
Qwen3 VL 235B A22B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 235B A22B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Thinking specifies output context (262,144 tokens).

Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input262,144 tokens
Output262,144 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen2.5 VL 32B Instruct and Qwen3 VL 235B A22B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Qwen2.5 VL 32B Instruct

Text
Images
Audio
Video

Qwen3 VL 235B A22B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen2.5 VL 32B Instruct

Apache 2.0

Open weights

Qwen3 VL 235B A22B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5 VL 32B Instruct was released on 2025-02-28, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.

Qwen3 VL 235B A22B Thinking is 7 months newer than Qwen2.5 VL 32B Instruct.

Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.3 years ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

8 months ago

6mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Higher CC-OCR score (81.5% vs 77.1%)
Higher CharadesSTA score (63.5% vs 54.2%)
Higher LVBench score (63.6% vs 49.0%)
Higher MathVision score (74.6% vs 38.4%)
Higher MathVista-Mini score (85.8% vs 74.7%)
Higher MMLU score (90.6% vs 78.4%)
Higher MMLU-Pro score (83.8% vs 68.8%)
Higher MMMU-Pro score (69.3% vs 49.5%)
Higher MMStar score (78.7% vs 69.5%)
Higher OCRBench-V2 (en) score (66.8% vs 57.2%)
Higher OCRBench-V2 (zh) score (63.5% vs 59.1%)
Higher OSWorld score (38.1% vs 5.9%)
Higher ScreenSpot score (95.4% vs 88.5%)
Higher ScreenSpot Pro score (61.8% vs 39.4%)
Higher VideoMME w/o sub. score (79.0% vs 70.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking

FAQ

Common questions about Qwen2.5 VL 32B Instruct vs Qwen3 VL 235B A22B Thinking.

Which is better, Qwen2.5 VL 32B Instruct or Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks. Qwen2.5 VL 32B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3 VL 235B A22B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen2.5 VL 32B Instruct compare to Qwen3 VL 235B A22B Thinking in benchmarks?

Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%. Qwen3 VL 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.

What are the context window sizes for Qwen2.5 VL 32B Instruct and Qwen3 VL 235B A22B Thinking?

Qwen2.5 VL 32B Instruct supports an unknown number of tokens and Qwen3 VL 235B A22B Thinking supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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