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Gemma 3n E4B Instructed vs Mistral Small 3.1 24B Instruct
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 8.2% higher average benchmark score. 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
Mistral Small 3.1 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 64.0% across 9 benchmarks. It excels particularly in HumanEval (88.4%), MMLU (80.6%), TriviaQA (80.5%). 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 Instruct
Mistral AI
2025-03-17
Gemma 3n E4B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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Gemma 3n E4B Instructed
Average Score:34.4%(+8.2%)
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Mistral Small 3.1 24B Instruct
Average Score:26.2%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
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 Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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Mistral Small 3.1 24B Instruct
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Gemma 3n E4B Instructed
Avg Score:34.4%(+8.2%)
Providers:1
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Mistral Small 3.1 24B Instruct
Avg Score:26.2%
Providers:0