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 Mini Reasoning
Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). 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 Mini Reasoning
Microsoft
2025-04-30
9 months newer
Performance Metrics
Context window and performance specifications

Llama 3.1 405B Instruct

Phi 4 Mini Reasoning
Average performance across 1 common benchmarks

Llama 3.1 405B Instruct

Phi 4 Mini Reasoning
Performance comparison across key benchmark categories

Llama 3.1 405B Instruct

Phi 4 Mini Reasoning
Phi 4 Mini Reasoning
2025-02-01
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.1 405B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock
Lambda
Replicate

Phi 4 Mini Reasoning

Llama 3.1 405B Instruct

Phi 4 Mini Reasoning