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.

QvQ-72B-Preview
Alibaba Cloud / Qwen Team
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.

QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25

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

DeepSeek-V3.2-Exp

QvQ-72B-Preview
Average performance across 18 common benchmarks

DeepSeek-V3.2-Exp

QvQ-72B-Preview
Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

QvQ-72B-Preview
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3.2-Exp
Novita
ZeroEval

QvQ-72B-Preview

DeepSeek-V3.2-Exp

QvQ-72B-Preview