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DeepSeek R1 Distill Qwen 1.5B vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 11B Instruct leads with 36.6% higher average benchmark score. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, Llama 3.2 11B Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
3 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:13.4%
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Llama 3.2 11B Instruct
Average Score:50.0%(+36.6%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B Instruct
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 1.5B
0 providers
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Llama 3.2 11B Instruct
6 providers
Bedrock
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:13.4%
Providers:0
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Llama 3.2 11B Instruct
Avg Score:50.0%(+36.6%)
Providers:6