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DeepSeek R1 Distill Qwen 14B vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 3.5% higher average benchmark score. Mistral Small 3.1 24B Base supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek R1 Distill Qwen 14B is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.5% across 4 benchmarks. It excels particularly in MATH-500 (93.9%), AIME 2024 (80.0%), GPQA (59.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek'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.
1 month newer
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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DeepSeek R1 Distill Qwen 14B
Average Score:35.8%
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Mistral Small 3.1 24B Base
Average Score:39.3%(+3.5%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 14B
0 providers
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
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DeepSeek R1 Distill Qwen 14B
Avg Score:35.8%
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:39.3%(+3.5%)
Providers:1