Model Comparison
Magistral Small 2506 vs Qwen3 VL 30B A3B ThinkingWhich is better in 2026?
Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.
Verdict: Magistral Small 2506 vs Qwen3 VL 30B A3B Thinking — which is better?
Magistral Small 2506 (by Mistral AI) 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.
Magistral Small 2506 outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 2 benchmarks (AIME 2025, GPQA). Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.
Choose Magistral Small 2506 if…
- you are already invested in the Mistral AI ecosystem
Choose Qwen3 VL 30B A3B Thinking if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you want the most recent training data — it shipped Sep 2025
Performance Benchmarks
Comparative analysis across standard metrics
Magistral Small 2506 outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 2 benchmarks (AIME 2025, GPQA).
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 7.0B more parameters than Magistral Small 2506, making it 29.2% 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
Qwen3 VL 30B A3B Thinking supports multimodal inputs, whereas Magistral Small 2506 does not.
Qwen3 VL 30B A3B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Magistral Small 2506
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
Magistral Small 2506 was released on 2025-06-10, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.
Qwen3 VL 30B A3B Thinking is 3 months newer than Magistral Small 2506.
Jun 10, 2025
1.1 years ago
Sep 22, 2025
10 months ago
3mo newerKnowledge Cutoff
When training data ends
Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Qwen3 VL 30B A3B Thinking's cutoff date is not specified.
We can confirm Magistral Small 2506's training data extends to 2025-06-01, but cannot make a direct comparison without Qwen3 VL 30B A3B Thinking's cutoff date.
Jun 2025
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Outputs Comparison
Key Takeaways
Magistral Small 2506
View detailsMistral AI
No standout differentiators in the data we have for this pair.
Qwen3 VL 30B A3B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Magistral Small 2506 and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Magistral Small 2506 vs Qwen3 VL 30B A3B Thinking.