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.

Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). The model shows particular specialization in general tasks with an average performance of 82.2%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29

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

DeepSeek-V3.2-Exp

Qwen2-VL-72B-Instruct
Average performance across 29 common benchmarks

DeepSeek-V3.2-Exp

Qwen2-VL-72B-Instruct
Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3.2-Exp
Novita
ZeroEval

Qwen2-VL-72B-Instruct

DeepSeek-V3.2-Exp

Qwen2-VL-72B-Instruct