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

DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Phi 4 Mini
Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). 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
DeepSeek
2025-01-20

Phi 4 Mini
Microsoft
2025-02-01
12 days newer
Performance Metrics
Context window and performance specifications

DeepSeek-R1

Phi 4 Mini
Average performance across 4 common benchmarks

DeepSeek-R1

Phi 4 Mini
Performance comparison across key benchmark categories

DeepSeek-R1

Phi 4 Mini
Phi 4 Mini
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek

Phi 4 Mini

DeepSeek-R1

Phi 4 Mini