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Gemma 3n E2B vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 26.1% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Overall, Gemma 3n E2B is the stronger choice for coding tasks.
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Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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 E2B
2025-06-26
Average performance across 15 common benchmarks
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Gemma 3n E2B
Average Score:43.0%(+26.1%)
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Magistral Small 2506
Average Score:16.9%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
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 E2B
0 providers
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Magistral Small 2506
0 providers
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Gemma 3n E2B
Avg Score:43.0%(+26.1%)
Providers:0
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Magistral Small 2506
Avg Score:16.9%
Providers:0