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-3.5-MoE-instruct
Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Phi-3.5-MoE-instruct
Microsoft
2024-08-23

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

DeepSeek-V3.2-Exp

Phi-3.5-MoE-instruct
Average performance across 43 common benchmarks

DeepSeek-V3.2-Exp

Phi-3.5-MoE-instruct
Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

Phi-3.5-MoE-instruct
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3.2-Exp
Novita
ZeroEval

Phi-3.5-MoE-instruct

DeepSeek-V3.2-Exp

Phi-3.5-MoE-instruct