Model Comparison

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

DeepSeek

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.

Alibaba

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

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

2025-01-20

Alibaba

Qwen2.5-Omni-7B

Alibaba

2025-03-27

2 months newer

Average performance across 1 common benchmarks

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

+3.0%
Average Score:33.8%
Alibaba

Qwen2.5-Omni-7B

Average Score:30.8%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

math
+20.6%
83.9%
code
16.9%
general
43.3%
Alibaba

Qwen2.5-Omni-7B

math
63.3%
code
+59.0%
76.0%
general
+15.4%
58.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

0 providers
Alibaba

Qwen2.5-Omni-7B

0 providers
DeepSeek

DeepSeek R1 Distill Qwen 1.5B

+3.0%
Avg Score:33.8%
Providers:0
Alibaba

Qwen2.5-Omni-7B

Avg Score:30.8%
Providers:0