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DeepSeek R1 Zero vs Mistral Small 3.2 24B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 29.1% higher average benchmark score. Mistral Small 3.2 24B Instruct 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 3.2 24B Instruct represents a further evolution of the Small model series, developed with continued refinements to instruction-following and task performance. Built to incorporate ongoing improvements, it provides the latest capabilities in Mistral's intermediate-scale offering.
5 months newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Mistral Small 3.2 24B Instruct
Mistral AI
2025-06-20
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Average performance across 1 common benchmarks
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DeepSeek R1 Zero
Average Score:73.3%(+29.1%)
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Mistral Small 3.2 24B Instruct
Average Score:44.2%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3.2 24B Instruct
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 3.2 24B Instruct
0 providers
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DeepSeek R1 Zero
Avg Score:73.3%(+29.1%)
Providers:0
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Mistral Small 3.2 24B Instruct
Avg Score:44.2%
Providers:0