Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 20.8% higher average benchmark score. Phi-3.5-mini-instruct offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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.
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.
1 year newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Phi-3.5-mini-instruct
Context window and performance specifications
Average performance across 43 common benchmarks
DeepSeek-V3.2-Exp
Phi-3.5-mini-instruct
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Phi-3.5-mini-instruct
DeepSeek-V3.2-Exp
Phi-3.5-mini-instruct
DeepSeek-V3.2-Exp
Phi-3.5-mini-instruct
Azure