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

DeepSeek-V3.2-Exp
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. 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.

Phi 4 Mini Reasoning
Microsoft
2025-04-30

DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
5 months newer
Performance Metrics
Context window and performance specifications

DeepSeek-V3.2-Exp

Phi 4 Mini Reasoning
Average performance across 16 common benchmarks

DeepSeek-V3.2-Exp

Phi 4 Mini Reasoning
Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

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

DeepSeek-V3.2-Exp
Novita
ZeroEval

Phi 4 Mini Reasoning

DeepSeek-V3.2-Exp

Phi 4 Mini Reasoning