Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Llama 3.1 8B Instruct
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.
Phi 4 Mini
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.
Llama 3.1 8B Instruct
Meta
2024-07-23
Phi 4 Mini
Microsoft
2025-02-01
6 months newer
Performance Metrics
Context window and performance specifications
Llama 3.1 8B Instruct
Phi 4 Mini
Average performance across 4 common benchmarks
Llama 3.1 8B Instruct
Phi 4 Mini
Performance comparison across key benchmark categories
Llama 3.1 8B Instruct
Phi 4 Mini
Llama 3.1 8B Instruct
2023-12-31
Phi 4 Mini
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 8B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras
Phi 4 Mini
Llama 3.1 8B Instruct
Phi 4 Mini