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DeepSeek R1 Zero vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 35.8% higher average benchmark score. Mistral Small 3.1 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 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.
1 month newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
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 1 common benchmarks
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DeepSeek R1 Zero
Average Score:73.3%(+35.8%)
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Mistral Small 3.1 24B Base
Average Score:37.5%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
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DeepSeek R1 Zero
Avg Score:73.3%(+35.8%)
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:37.5%
Providers:1