Model Comparison
Magistral Small 2506 vs Qwen3 30B A3B
Qwen3 30B A3B shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Magistral Small 2506 outperforms in 1 benchmarks (GPQA), while Qwen3 30B A3B is better at 3 benchmarks (AIME 2024, AIME 2025, LiveCodeBench).
Qwen3 30B A3B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen3 30B A3B has 6.5B more parameters than Magistral Small 2506, making it 27.1% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 30B A3B specifies input context (128,000 tokens). Only Qwen3 30B A3B specifies output context (128,000 tokens).
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 30B A3B was released on 2025-04-29.
Magistral Small 2506 is 1 month newer than Qwen3 30B A3B.
Jun 10, 2025
10 months ago
1mo newerApr 29, 2025
11 months ago
Knowledge Cutoff
When training data ends
Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Qwen3 30B A3B'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 30B A3B's cutoff date.
Jun 2025
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Outputs Comparison
Key Takeaways
Magistral Small 2506
View detailsMistral AI
Qwen3 30B A3B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Magistral Small 2506 vs Qwen3 30B A3B