Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Llama 3.2 3B Instruct
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.
Phi 4 Reasoning
Microsoft
Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. 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 3.2 3B Instruct
Meta
2024-09-25
Phi 4 Reasoning
Microsoft
2025-04-30
7 months newer
Performance Metrics
Context window and performance specifications
Llama 3.2 3B Instruct
Phi 4 Reasoning
Average performance across 2 common benchmarks
Llama 3.2 3B Instruct
Phi 4 Reasoning
Performance comparison across key benchmark categories
Llama 3.2 3B Instruct
Phi 4 Reasoning
Phi 4 Reasoning
2025-03-01
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.2 3B Instruct
DeepInfra
Phi 4 Reasoning
Llama 3.2 3B Instruct
Phi 4 Reasoning