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Gemma 3n E2B vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 22.1% higher average benchmark score. 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
Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
3 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Gemma 3n E2B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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Gemma 3n E2B
Average Score:43.0%(+22.1%)
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Mistral Small 3.1 24B Base
Average Score:21.0%
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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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Mistral Small 3.1 24B Base
1 providers
Mistral AI
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Gemma 3n E2B
Avg Score:43.0%(+22.1%)
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:21.0%
Providers:1