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DeepSeek-V3.1 vs Magistral Medium
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 2.7% higher average benchmark score. Magistral Medium supports multimodal inputs. DeepSeek-V3.1 is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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Mistral AI
Magistral Medium was introduced as a specialized model for advanced reasoning and analytical tasks, designed to handle complex problem-solving scenarios. Built to serve enterprise and professional applications requiring sophisticated reasoning, it represents Mistral's focus on high-quality analytical capabilities.
5 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Magistral Medium
Mistral AI
2025-06-10
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Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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DeepSeek-V3.1
Average Score:55.3%(+2.7%)
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Magistral Medium
Average Score:52.6%
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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-V3.1
2 providers
DeepInfra
Novita
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Magistral Medium
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DeepSeek-V3.1
Avg Score:55.3%(+2.7%)
Providers:2
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Magistral Medium
Avg Score:52.6%
Providers:0