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Gemma 3 1B vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3 24B Base leads with 3.0% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
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Mistral AI
Mistral Small 3 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 67.0% across 9 benchmarks. It excels particularly in ARC-C (91.3%), GSM8k (80.7%), MMLU (80.7%). 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.
1 month newer
Mistral Small 3 24B Base
Mistral AI
2025-01-30
Gemma 3 1B
2025-03-12
Average performance across 22 common benchmarks
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Gemma 3 1B
Average Score:24.5%
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Mistral Small 3 24B Base
Average Score:27.4%(+3.0%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
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 3 1B
0 providers
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Mistral Small 3 24B Base
0 providers
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Gemma 3 1B
Avg Score:24.5%
Providers:0
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Mistral Small 3 24B Base
Avg Score:27.4%(+3.0%)
Providers:0