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

DeepSeek-V3
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Qwen2.5 VL 72B Instruct
Alibaba
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

DeepSeek-V3
DeepSeek
2024-12-25

Qwen2.5 VL 72B Instruct
Alibaba
2025-01-26
1 month newer
Performance Metrics
Context window and performance specifications

DeepSeek-V3

Qwen2.5 VL 72B Instruct
Performance comparison across key benchmark categories

DeepSeek-V3

Qwen2.5 VL 72B Instruct
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3
DeepSeek

Qwen2.5 VL 72B Instruct

DeepSeek-V3

Qwen2.5 VL 72B Instruct