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

DeepSeek R1 Distill Qwen 7B
DeepSeek
DeepSeek R1 Distill Qwen 7B is a language model developed by DeepSeek. It achieves strong performance with an average score of 65.7% across 4 benchmarks. It excels particularly in MATH-500 (92.8%), AIME 2024 (83.3%), GPQA (49.1%). 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 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.

DeepSeek R1 Distill Qwen 7B
DeepSeek
2025-01-20

Phi 4 Reasoning
Microsoft
2025-04-30
3 months newer
Average performance across 3 common benchmarks

DeepSeek R1 Distill Qwen 7B

Phi 4 Reasoning
Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 7B

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

DeepSeek R1 Distill Qwen 7B

Phi 4 Reasoning

DeepSeek R1 Distill Qwen 7B

Phi 4 Reasoning