Model Comparison

Qwen2.5 VL 7B Instruct vs Qwen3 VL 4B InstructWhich is better in 2026?

Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.

Verdict: Qwen2.5 VL 7B Instruct vs Qwen3 VL 4B Instruct — which is better?

Qwen2.5 VL 7B Instruct (by Alibaba Cloud / Qwen Team) and Qwen3 VL 4B Instruct (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 7B Instruct outperforms in 2 benchmarks (CC-OCR, MVBench), while Qwen3 VL 4B Instruct is better at 10 benchmarks (CharadesSTA, Hallusion Bench, LVBench, MathVision, MathVista-Mini, MMMU-Pro, MMStar, OCRBench, ScreenSpot, ScreenSpot Pro). Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.

Choose Qwen2.5 VL 7B Instruct if…

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

Choose Qwen3 VL 4B Instruct if…

  • you want the strongest raw capability — it leads on 10 of 12 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

12 benchmarks

Qwen2.5 VL 7B Instruct outperforms in 2 benchmarks (CC-OCR, MVBench), while Qwen3 VL 4B Instruct is better at 10 benchmarks (CharadesSTA, Hallusion Bench, LVBench, MathVision, MathVista-Mini, MMMU-Pro, MMStar, OCRBench, ScreenSpot, ScreenSpot Pro).

Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.

Sat Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

4.3B diff

Qwen2.5 VL 7B Instruct has 4.3B more parameters than Qwen3 VL 4B Instruct, making it 107.3% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
4.0Bparameters
8.3B
Qwen2.5 VL 7B Instruct
4.0B
Qwen3 VL 4B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 4B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 4B Instruct specifies output context (262,144 tokens).

Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input262,144 tokens
Output262,144 tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen2.5 VL 7B Instruct and Qwen3 VL 4B Instruct support multimodal inputs.

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

Qwen2.5 VL 7B Instruct

Text
Images
Audio
Video

Qwen3 VL 4B Instruct

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 7B Instruct

Apache 2.0

Open weights

Qwen3 VL 4B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5 VL 7B Instruct was released on 2025-01-26, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 8 months newer than Qwen2.5 VL 7B Instruct.

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.4 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

9 months ago

7mo 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 7B Instruct

View details

Alibaba Cloud / Qwen Team

Higher CC-OCR score (77.8% vs 76.2%)
Higher MVBench score (69.6% vs 68.9%)
Alibaba Cloud / Qwen Team

Qwen3 VL 4B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Higher CharadesSTA score (55.5% vs 43.6%)
Higher Hallusion Bench score (57.6% vs 52.9%)
Higher LVBench score (56.2% vs 45.3%)
Higher MathVision score (51.6% vs 25.1%)
Higher MathVista-Mini score (73.7% vs 68.2%)
Higher MMMU-Pro score (53.2% vs 38.3%)
Higher MMStar score (69.8% vs 63.9%)
Higher OCRBench score (88.1% vs 86.4%)
Higher ScreenSpot score (94.0% vs 84.7%)
Higher ScreenSpot Pro score (59.5% vs 29.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen2.5 VL 7B Instruct and Qwen3 VL 4B Instruct side-by-side, then vote on the output you prefer.

Qwen2.5 VL 7B Instruct
✓ Preferred
Qwen3 VL 4B Instruct
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct

FAQ

Common questions about Qwen2.5 VL 7B Instruct vs Qwen3 VL 4B Instruct.

Which is better, Qwen2.5 VL 7B Instruct or Qwen3 VL 4B Instruct?

Qwen3 VL 4B Instruct significantly outperforms across most benchmarks. Qwen2.5 VL 7B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3 VL 4B Instruct 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 7B Instruct compare to Qwen3 VL 4B Instruct in benchmarks?

Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%. Qwen3 VL 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

What are the context window sizes for Qwen2.5 VL 7B Instruct and Qwen3 VL 4B Instruct?

Qwen2.5 VL 7B Instruct supports an unknown number of tokens and Qwen3 VL 4B Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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