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DeepSeek VL2 Tiny vs Qwen2.5-Coder 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 6.6% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Overall, Qwen2.5-Coder 7B Instruct is the stronger choice for coding tasks.
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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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Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Average performance across 33 common benchmarks
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DeepSeek VL2 Tiny
Average Score:26.8%
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Qwen2.5-Coder 7B Instruct
Average Score:33.4%(+6.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Qwen2.5-Coder 7B Instruct
0 providers
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DeepSeek VL2 Tiny
Avg Score:26.8%
Providers:0
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Qwen2.5-Coder 7B Instruct
Avg Score:33.4%(+6.6%)
Providers:0