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

DeepSeek R1 Distill Qwen 1.5B
DeepSeek
DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). It's licensed for commercial use, making it suitable for enterprise applications. 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.

DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20

Qwen2.5-Omni-7B
Alibaba
2025-03-27
2 months newer
Average performance across 1 common benchmarks

DeepSeek R1 Distill Qwen 1.5B

Qwen2.5-Omni-7B
Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 1.5B

Qwen2.5-Omni-7B
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 1.5B

Qwen2.5-Omni-7B

DeepSeek R1 Distill Qwen 1.5B

Qwen2.5-Omni-7B