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

Llama 3.3 70B Instruct
Meta
Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). The model shows particular specialization in code tasks with an average performance of 89.4%. It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Phi 4 Reasoning
Microsoft
Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. 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 3.3 70B Instruct
Meta
2024-12-06

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

Llama 3.3 70B Instruct

Phi 4 Reasoning
Average performance across 3 common benchmarks

Llama 3.3 70B Instruct

Phi 4 Reasoning
Performance comparison across key benchmark categories

Llama 3.3 70B Instruct

Phi 4 Reasoning
Phi 4 Reasoning
2025-03-01
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.3 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras

Phi 4 Reasoning

Llama 3.3 70B Instruct

Phi 4 Reasoning