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DeepSeek R1 Zero vs Magistral Medium
Comprehensive side-by-side LLM comparison
Magistral Medium leads with 1.4% higher average benchmark score. Magistral Medium supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Mistral AI
Magistral Medium is a multimodal language model developed by Mistral AI. The model shows competitive results across 6 benchmarks. Notable strengths include AIME 2024 (73.6%), GPQA (70.8%), AIME 2025 (64.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
4 months newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Magistral Medium
Mistral AI
2025-06-10
Average performance across 7 common benchmarks
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DeepSeek R1 Zero
Average Score:43.7%
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Magistral Medium
Average Score:45.1%(+1.4%)
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Knowledge Cutoff
Training data recency comparison
Magistral Medium
2025-06-01
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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Magistral Medium
0 providers
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DeepSeek R1 Zero
Avg Score:43.7%
Providers:0
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Magistral Medium
Avg Score:45.1%(+1.4%)
Providers:0