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DeepSeek VL2 Tiny vs DeepSeek-V3.2-Exp
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 1.5% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. DeepSeek-V3.2-Exp is available on 2 providers. 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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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
9 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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DeepSeek VL2 Tiny
Average Score:31.6%
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DeepSeek-V3.2-Exp
Average Score:33.1%(+1.5%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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DeepSeek-V3.2-Exp
2 providers
Novita
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DeepSeek VL2 Tiny
Avg Score:31.6%
Providers:0
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DeepSeek-V3.2-Exp
Avg Score:33.1%(+1.5%)
Providers:2