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-mini-instruct
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). 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 2024, it represents Microsoft's latest advancement in AI technology.
Phi-3.5-mini-instruct
Microsoft
2024-08-23
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
1 year newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Phi-3.5-mini-instruct
Performance Metrics
Context window and performance specifications
DeepSeek-V3.2-Exp
Phi-3.5-mini-instruct
Average performance across 43 common benchmarks
DeepSeek-V3.2-Exp
Phi-3.5-mini-instruct
Performance comparison across key benchmark categories
DeepSeek-V3.2-Exp
Phi-3.5-mini-instruct
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Phi-3.5-mini-instruct
Azure
DeepSeek-V3.2-Exp
Phi-3.5-mini-instruct