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

DeepSeek-R1-0528
DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 68.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), AIME 2024 (91.4%), AIME 2025 (87.5%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Qwen2.5 VL 7B Instruct
Alibaba
Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). 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's latest advancement in AI technology.

Qwen2.5 VL 7B Instruct
Alibaba
2025-01-26

DeepSeek-R1-0528
DeepSeek
2025-05-28
4 months newer
Performance Metrics
Context window and performance specifications

DeepSeek-R1-0528

Qwen2.5 VL 7B Instruct
Performance comparison across key benchmark categories

DeepSeek-R1-0528

Qwen2.5 VL 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-R1-0528
DeepInfra
Novita
DeepSeek

Qwen2.5 VL 7B Instruct

DeepSeek-R1-0528

Qwen2.5 VL 7B Instruct