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DeepSeek R1 Distill Qwen 1.5B vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 35.9% higher average benchmark score. Overall, Llama 3.2 3B 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 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.
3 months newer
Llama 3.2 3B 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 18 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:10.4%
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Llama 3.2 3B Instruct
Average Score:46.3%(+35.9%)
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 3B Instruct
1 providers
DeepInfra
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:10.4%
Providers:0
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Llama 3.2 3B Instruct
Avg Score:46.3%(+35.9%)
Providers:1