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DeepSeek VL2 Tiny vs Pixtral-12B
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 3.7% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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
Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). It supports a 136K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
2 months newer
Pixtral-12B
Mistral AI
2024-09-17
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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DeepSeek VL2 Tiny
Average Score:40.2%(+3.7%)
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Pixtral-12B
Average Score:36.5%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Pixtral-12B
1 providers
Mistral AI
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DeepSeek VL2 Tiny
Avg Score:40.2%(+3.7%)
Providers:0
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Pixtral-12B
Avg Score:36.5%
Providers:1