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Gemma 3n E4B vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 10.3% higher average benchmark score. Overall, Mistral Small 3.1 24B Base is the stronger choice for coding tasks.
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Gemma 3N E4B was developed as a slightly larger edge-optimized variant, designed to provide enhanced capabilities while still fitting within edge computing constraints. Built to serve applications that can accommodate more parameters for improved quality, it expands the range of edge deployment options.
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Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
3 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Gemma 3n E4B
2025-06-26
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemma 3n E4B
Average Score:70.2%
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Mistral Small 3.1 24B Base
Average Score:80.5%(+10.3%)
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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 3.1 24B Base
1 providers
Mistral AI
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Gemma 3n E4B
Avg Score:70.2%
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:80.5%(+10.3%)
Providers:1