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DeepSeek-V3 vs Magistral Medium
Comprehensive side-by-side LLM comparison
Magistral Medium leads with 14.1% higher average benchmark score. Magistral Medium supports multimodal inputs. Overall, Magistral Medium is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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
DeepSeek
2024-12-25
Magistral Medium
Mistral AI
2025-06-10
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V3
Average Score:46.4%
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Magistral Medium
Average Score:60.4%(+14.1%)
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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 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Magistral Medium
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DeepSeek-V3
Avg Score:46.4%
Providers:1
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Magistral Medium
Avg Score:60.4%(+14.1%)
Providers:0