Comprehensive side-by-side LLM comparison
Phi 4 leads with 18.8% higher average benchmark score. Llama 3.2 11B Instruct offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, Phi 4 is the stronger choice for coding tasks.
Meta
Llama 3.2 11B was introduced as a mid-sized variant in the Llama 3.2 family, designed to offer enhanced capabilities while maintaining efficiency. Built to provide a balanced option for applications requiring more than lightweight models but less than flagship sizes, it serves diverse use cases in the open-source community.
Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
2 months newer

Llama 3.2 11B Instruct
Meta
2024-09-25

Phi 4
Microsoft
2024-12-12
Cost per million tokens (USD)

Llama 3.2 11B Instruct

Phi 4
Context window and performance specifications
Average performance across 4 common benchmarks

Llama 3.2 11B Instruct

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

Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova

Llama 3.2 11B Instruct

Phi 4

Llama 3.2 11B Instruct

Phi 4
Together

Phi 4
DeepInfra