Model Comparison
Qwen2.5 VL 7B Instruct vs Qwen3 VL 30B A3B ThinkingWhich is better in 2026?
Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.
Verdict: Qwen2.5 VL 7B Instruct vs Qwen3 VL 30B A3B Thinking — which is better?
Qwen2.5 VL 7B Instruct (by Alibaba Cloud / Qwen Team) and Qwen3 VL 30B A3B 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 7B Instruct outperforms in 1 benchmarks (OCRBench), while Qwen3 VL 30B A3B Thinking is better at 10 benchmarks (CharadesSTA, Hallusion Bench, LVBench, MathVision, MathVista-Mini, MMMU-Pro, MMStar, MVBench, ScreenSpot, ScreenSpot Pro). Qwen3 VL 30B A3B Thinking 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 30B A3B Thinking if…
- you want the strongest raw capability — it leads on 11 of 12 shared benchmarks
- you want the most recent training data — it shipped Sep 2025
Performance Benchmarks
Comparative analysis across standard metrics
Qwen2.5 VL 7B Instruct outperforms in 1 benchmarks (OCRBench), while Qwen3 VL 30B A3B Thinking is better at 10 benchmarks (CharadesSTA, Hallusion Bench, LVBench, MathVision, MathVista-Mini, MMMU-Pro, MMStar, MVBench, ScreenSpot, ScreenSpot Pro).
Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen3 VL 30B A3B Thinking has 22.7B more parameters than Qwen2.5 VL 7B Instruct, making it 273.9% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 30B A3B Thinking specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Thinking specifies output context (32,768 tokens).
Input Capabilities
Supported data types and modalities
Both Qwen2.5 VL 7B Instruct and Qwen3 VL 30B A3B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen2.5 VL 7B Instruct
Qwen3 VL 30B A3B Thinking
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
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 30B A3B Thinking was released on 2025-09-22.
Qwen3 VL 30B A3B Thinking is 8 months newer than Qwen2.5 VL 7B Instruct.
Jan 26, 2025
1.5 years ago
Sep 22, 2025
10 months ago
7mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Qwen2.5 VL 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen2.5 VL 7B Instruct and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen2.5 VL 7B Instruct vs Qwen3 VL 30B A3B Thinking.