Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Llama 3.1 405B Instruct
Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. 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 3.1 405B Instruct
Meta
2024-07-23
Phi 4 Reasoning
Microsoft
2025-04-30
9 months newer
Performance Metrics
Context window and performance specifications
Llama 3.1 405B Instruct
Phi 4 Reasoning
Average performance across 3 common benchmarks
Llama 3.1 405B Instruct
Phi 4 Reasoning
Performance comparison across key benchmark categories
Llama 3.1 405B Instruct
Phi 4 Reasoning
Phi 4 Reasoning
2025-03-01
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 405B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock
Lambda
Replicate
Phi 4 Reasoning
Llama 3.1 405B Instruct
Phi 4 Reasoning