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DeepSeek VL2 vs Magistral Medium
Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 33.8% higher average benchmark score. Overall, DeepSeek VL2 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.
5 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Magistral Medium
Mistral AI
2025-06-10
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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DeepSeek VL2
Average Score:49.6%(+33.8%)
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Magistral Medium
Average Score:15.8%
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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 VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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Magistral Medium
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DeepSeek VL2
Avg Score:49.6%(+33.8%)
Providers:1
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Magistral Medium
Avg Score:15.8%
Providers:0