Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek

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.

Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. 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 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

Alibaba Cloud / Qwen Team

2025-02-28

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

7 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.2-Exp

Larger context
Max Context:229.4K
Parameters:685.0B
Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

Max Context:-
Parameters:33.5B

Average performance across 40 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

Average Score:23.1%
Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

+21.4%
Average Score:44.5%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

code
64.3%
math
+21.4%
86.5%
general
+2.0%
62.1%
Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

code
+23.5%
87.8%
math
65.1%
general
60.1%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s
Latency: 0.7ms
Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

0 providers
DeepSeek

DeepSeek-V3.2-Exp

Avg Score:23.1%
Providers:2
Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

+21.4%
Avg Score:44.5%
Providers:0