Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Llama 3.2 11B Instruct
Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.

Phi 4 Reasoning Plus
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.

Llama 3.2 11B Instruct
Meta
2024-09-25

Phi 4 Reasoning Plus
Microsoft
2025-04-30
7 months newer
Performance Metrics
Context window and performance specifications

Llama 3.2 11B Instruct

Phi 4 Reasoning Plus
Average performance across 1 common benchmarks

Llama 3.2 11B Instruct

Phi 4 Reasoning Plus
Performance comparison across key benchmark categories

Llama 3.2 11B Instruct

Phi 4 Reasoning Plus
Llama 3.2 11B Instruct
2023-12-31
Phi 4 Reasoning Plus
2025-03-01
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.2 11B Instruct
Sambanova
Together
DeepInfra
Fireworks
Groq
Bedrock

Phi 4 Reasoning Plus

Llama 3.2 11B Instruct

Phi 4 Reasoning Plus