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-vision-instruct
Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). The model shows particular specialization in general tasks with an average performance of 75.9%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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-vision-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-vision-instruct
Average performance across 23 common benchmarks

DeepSeek-V3.2-Exp

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

DeepSeek-V3.2-Exp

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

DeepSeek-V3.2-Exp
Novita
ZeroEval

Phi-3.5-vision-instruct

DeepSeek-V3.2-Exp

Phi-3.5-vision-instruct