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DeepSeek R1 Zero vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 38.9% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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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 Zero
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 Zero
Average Score:73.3%(+38.9%)
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Mistral Small 3 24B Base
Average Score:34.4%
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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 Zero
0 providers
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Mistral Small 3 24B Base
0 providers
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DeepSeek R1 Zero
Avg Score:73.3%(+38.9%)
Providers:0
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Mistral Small 3 24B Base
Avg Score:34.4%
Providers:0