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
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Llama 3.2 11B Instruct
Meta
2024-09-25

Phi 4
Microsoft
2024-12-12
2 months newer
Pricing Comparison
Cost per million tokens (USD)

Llama 3.2 11B Instruct

Phi 4
Performance Metrics
Context window and performance specifications

Llama 3.2 11B Instruct

Phi 4
Average performance across 4 common benchmarks

Llama 3.2 11B Instruct

Phi 4
Performance comparison across key benchmark categories

Llama 3.2 11B Instruct

Phi 4
Llama 3.2 11B Instruct
2023-12-31
Phi 4
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.2 11B Instruct
Sambanova
Together
DeepInfra
Fireworks
Groq
Bedrock

Phi 4
DeepInfra

Llama 3.2 11B Instruct

Phi 4