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Llama 3.1 8B Instruct vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 3.1 8B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
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Meta
Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
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Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
6 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
Phi 4 Mini
Microsoft
2025-02-01
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
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Llama 3.1 8B Instruct
Average Score:35.6%
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Phi 4 Mini
Average Score:35.8%(+0.2%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B 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 3.1 8B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 2047 tok/s
Latency: 0.2ms
DeepInfra
Throughput: 118 tok/s
Latency: 0.5ms
Fireworks
Throughput: 292 tok/s
Latency: 0.5ms
Groq
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Llama 3.1 8B Instruct
Avg Score:35.6%
Providers:9
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Phi 4 Mini
Avg Score:35.8%(+0.2%)
Providers:0