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-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.

Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

Alibaba Cloud / Qwen Team

2024-08-29

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

1 year 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-VL-72B-Instruct

Max Context:-
Parameters:73.4B

Average performance across 29 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

Average Score:31.9%
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

+7.3%
Average Score:39.2%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

math
+16.0%
86.5%
general
62.1%
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

math
70.5%
general
+20.1%
82.2%
Knowledge Cutoff
Training data recency comparison

Qwen2-VL-72B-Instruct

2023-06-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

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-VL-72B-Instruct

0 providers
DeepSeek

DeepSeek-V3.2-Exp

Avg Score:31.9%
Providers:2
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

+7.3%
Avg Score:39.2%
Providers:0