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DeepSeek R1 Distill Qwen 7B vs Mistral Small 3.2 24B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 7B leads with 4.9% higher average benchmark score. Mistral Small 3.2 24B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Qwen-7B was developed as a compact distilled model, designed to provide reasoning capabilities in an efficient 7B parameter package. Built to extend analytical AI to a broad range of applications, it balances capability with the practical benefits of a smaller model size.
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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 Distill Qwen 7B
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 Distill Qwen 7B
Average Score:49.1%(+4.9%)
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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 Distill Qwen 7B
0 providers
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Mistral Small 3.2 24B Instruct
0 providers
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DeepSeek R1 Distill Qwen 7B
Avg Score:49.1%(+4.9%)
Providers:0
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Mistral Small 3.2 24B Instruct
Avg Score:44.2%
Providers:0