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Gemma 3 4B vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Magistral Small 2506 leads with 38.0% higher average benchmark score. Gemma 3 4B supports multimodal inputs. Overall, Magistral Small 2506 is the stronger choice for coding tasks.
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Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
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Mistral AI
Magistral Small was created as an efficient reasoning-focused variant, designed to bring analytical capabilities to applications with tighter resource constraints. Built to balance problem-solving depth with practical deployment needs, it extends reasoning-enhanced AI to broader use cases.
3 months newer
Gemma 3 4B
2025-03-12
Magistral Small 2506
Mistral AI
2025-06-10
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemma 3 4B
Average Score:21.7%
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Magistral Small 2506
Average Score:59.7%(+38.0%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
2024-08-01
Magistral Small 2506
2025-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Magistral Small 2506
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Gemma 3 4B
Avg Score:21.7%
Providers:1
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Magistral Small 2506
Avg Score:59.7%(+38.0%)
Providers:0