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
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 3.3 70B Instruct
Meta
2024-12-06

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

Llama 3.3 70B Instruct

Phi 4
Performance Metrics
Context window and performance specifications

Llama 3.3 70B Instruct

Phi 4
Average performance across 7 common benchmarks

Llama 3.3 70B Instruct

Phi 4
Performance comparison across key benchmark categories

Llama 3.3 70B Instruct

Phi 4
Phi 4
2024-06-01
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
DeepInfra

Llama 3.3 70B Instruct

Phi 4