Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 2.6% higher average benchmark score. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Both models have their strengths depending on your specific coding needs.
Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.
Microsoft
Phi 4 Reasoning Plus is a language model developed by Microsoft. It achieves strong performance with an average score of 78.9% across 11 benchmarks. It excels particularly in FlenQA (97.9%), HumanEval+ (92.3%), IFEval (84.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
7 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
Phi 4 Reasoning Plus
Microsoft
2025-04-30
Context window and performance specifications
Average performance across 23 common benchmarks
Llama 3.2 90B Instruct
Phi 4 Reasoning Plus
Phi 4 Reasoning Plus
2025-03-01
Available providers and their performance metrics
Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together
Llama 3.2 90B Instruct
Phi 4 Reasoning Plus
Llama 3.2 90B Instruct
Phi 4 Reasoning Plus
Phi 4 Reasoning Plus