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Llama 4 Scout vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 15.8% higher average benchmark score. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
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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.
2 months newer
Phi 4 Mini
Microsoft
2025-02-01
Llama 4 Scout
Meta
2025-04-05
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Llama 4 Scout
Average Score:70.4%(+15.8%)
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Phi 4 Mini
Average Score:54.6%
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Knowledge Cutoff
Training data recency comparison
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 4 Scout
6 providers
DeepInfra
Throughput: 76.1 tok/s
Latency: 0.31ms
Fireworks
Throughput: 116.1 tok/s
Latency: 0.53ms
Groq
Throughput: 776.1 tok/s
Latency: 1.08ms
Lambda
Throughput: 139.7 tok/s
Latency: 0.43ms
Novita
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Llama 4 Scout
Avg Score:70.4%(+15.8%)
Providers:6
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Phi 4 Mini
Avg Score:54.6%
Providers:0