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Gemma 2 9B vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 6.8% higher average benchmark score. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Mistral Small 3.1 24B Base is the stronger choice for coding tasks.
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Gemma 2 9B was created as a more compact open-source model, designed to deliver capable performance with reduced computational requirements. Built with 9 billion parameters and instruction tuning, it serves applications where efficiency and accessibility are valued alongside the benefits of open-source availability.
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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.
8 months newer
Gemma 2 9B
2024-06-27
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemma 2 9B
Average Score:74.0%
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Mistral Small 3.1 24B Base
Average Score:80.8%(+6.8%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 9B
0 providers
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
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Gemma 2 9B
Avg Score:74.0%
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:80.8%(+6.8%)
Providers:1