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-Omni-7B
Alibaba
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). The model shows particular specialization in code tasks with an average performance of 76.0%. 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-Omni-7B
Alibaba
2025-03-27
DeepSeek-R1-0528
DeepSeek
2025-05-28
2 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-R1-0528
Qwen2.5-Omni-7B
Average performance across 3 common benchmarks
DeepSeek-R1-0528
Qwen2.5-Omni-7B
Performance comparison across key benchmark categories
DeepSeek-R1-0528
Qwen2.5-Omni-7B
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
Novita
DeepSeek
Qwen2.5-Omni-7B
DeepSeek-R1-0528
Qwen2.5-Omni-7B