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Llama 3.2 11B Instruct vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Llama 3.2 11B Instruct leads with 1.5% higher average benchmark score. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Both models have their strengths depending on your specific coding needs.
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Meta
Llama 3.2 11B was introduced as a mid-sized variant in the Llama 3.2 family, designed to offer enhanced capabilities while maintaining efficiency. Built to provide a balanced option for applications requiring more than lightweight models but less than flagship sizes, it serves diverse use cases in the open-source community.
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Microsoft
Phi-4 Mini was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
4 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
Phi 4 Mini
Microsoft
2025-02-01
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Llama 3.2 11B Instruct
Average Score:56.6%(+1.5%)
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Phi 4 Mini
Average Score:55.1%
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B Instruct
2023-12-31
Phi 4 Mini
2024-06-01
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 11B Instruct
6 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 108 tok/s
Latency: 0.5ms
Fireworks
Throughput: 125 tok/s
Latency: 0.2ms
Groq
Throughput: 100 tok/s
Latency: 0.5ms
Sambanova
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Llama 3.2 11B Instruct
Avg Score:56.6%(+1.5%)
Providers:6
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Phi 4 Mini
Avg Score:55.1%
Providers:0