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DeepSeek VL2 Tiny vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. DeepSeek VL2 Tiny supports multimodal inputs. 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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Moonshot AI
Kimi K2 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
7 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Kimi K2 Base
Moonshot AI
2025-07-11
Average performance across 27 common benchmarks
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DeepSeek VL2 Tiny
Average Score:32.7%
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Kimi K2 Base
Average Score:33.3%(+0.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Kimi K2 Base
0 providers
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DeepSeek VL2 Tiny
Avg Score:32.7%
Providers:0
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Kimi K2 Base
Avg Score:33.3%(+0.6%)
Providers:0