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DeepSeek VL2 Tiny vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 1.7% higher average benchmark score. 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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Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
2 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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DeepSeek VL2 Tiny
Average Score:30.5%(+1.7%)
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Llama 3.2 3B Instruct
Average Score:28.8%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Llama 3.2 3B Instruct
1 providers
DeepInfra
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DeepSeek VL2 Tiny
Avg Score:30.5%(+1.7%)
Providers:0
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Llama 3.2 3B Instruct
Avg Score:28.8%
Providers:1