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Gemma 3n E2B vs Ministral 8B Instruct
Comprehensive side-by-side LLM comparison
Ministral 8B Instruct leads with 2.7% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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
Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
8 months newer
Ministral 8B Instruct
Mistral AI
2024-10-16
Gemma 3n E2B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Gemma 3n E2B
Average Score:34.0%
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Ministral 8B Instruct
Average Score:36.7%(+2.7%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
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 E2B
0 providers
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Ministral 8B Instruct
1 providers
Mistral AI
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Gemma 3n E2B
Avg Score:34.0%
Providers:0
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Ministral 8B Instruct
Avg Score:36.7%(+2.7%)
Providers:1