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

DeepSeek R1 Distill Llama 70B
DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Phi 4 Mini Reasoning
Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20

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

DeepSeek R1 Distill Llama 70B

Phi 4 Mini Reasoning
Average performance across 2 common benchmarks

DeepSeek R1 Distill Llama 70B

Phi 4 Mini Reasoning
Performance comparison across key benchmark categories

DeepSeek R1 Distill Llama 70B

Phi 4 Mini Reasoning
Phi 4 Mini Reasoning
2025-02-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Llama 70B
DeepInfra

Phi 4 Mini Reasoning

DeepSeek R1 Distill Llama 70B

Phi 4 Mini Reasoning