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Gemma 3n E4B Instructed vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 26.5% higher average benchmark score. Gemma 3n E4B Instructed supports multimodal inputs. Overall, Gemma 3n E4B Instructed is the stronger choice for coding tasks.
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Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Mistral AI
Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
16 days newer
Magistral Small 2506
Mistral AI
2025-06-10
Gemma 3n E4B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Gemma 3n E4B Instructed
Average Score:39.8%(+26.5%)
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Magistral Small 2506
Average Score:13.3%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
2024-06-01
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 3n E4B Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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Magistral Small 2506
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Gemma 3n E4B Instructed
Avg Score:39.8%(+26.5%)
Providers:1
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Magistral Small 2506
Avg Score:13.3%
Providers:0