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DeepSeek R1 Distill Qwen 1.5B vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Mistral Small 3 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-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
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Mistral AI
Mistral Small 24B Base was developed as a 24-billion-parameter foundation model, designed to serve as a base for fine-tuning and customization. Built to provide a strong starting point for domain-specific applications, it represents an intermediate-scale option in Mistral's model lineup.
10 days newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Mistral Small 3 24B Base
Mistral AI
2025-01-30
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Average performance across 1 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:33.8%
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Mistral Small 3 24B Base
Average Score:34.4%(+0.6%)
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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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DeepSeek R1 Distill Qwen 1.5B
0 providers
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Mistral Small 3 24B Base
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:33.8%
Providers:0
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Mistral Small 3 24B Base
Avg Score:34.4%(+0.6%)
Providers:0