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Llama 3.2 3B Instruct vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 37.1% higher average benchmark score. Overall, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
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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.
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Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
7 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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Llama 3.2 3B Instruct
Average Score:49.1%(+37.1%)
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Phi 4 Mini Reasoning
Average Score:12.0%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
Latency: 0.24ms
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Phi 4 Mini Reasoning
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Llama 3.2 3B Instruct
Avg Score:49.1%(+37.1%)
Providers:1
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Phi 4 Mini Reasoning
Avg Score:12.0%
Providers:0