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Gemma 3n E4B vs Mistral Small
Comprehensive side-by-side LLM comparison
Gemma 3n E4B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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
Mistral Small is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
9 months newer
Mistral Small
Mistral AI
2024-09-17
Gemma 3n E4B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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Gemma 3n E4B
Average Score:64.6%(+64.6%)
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Mistral Small
Average Score:0.0%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
2024-06-01
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
0 providers
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Mistral Small
1 providers
Mistral AI
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Gemma 3n E4B
Avg Score:64.6%(+64.6%)
Providers:0
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Mistral Small
Avg Score:0.0%
Providers:1