Model Comparison

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

DeepSeek R1 Distill Qwen 7B

DeepSeek

DeepSeek R1 Distill Qwen 7B is a language model developed by DeepSeek. It achieves strong performance with an average score of 65.7% across 4 benchmarks. It excels particularly in MATH-500 (92.8%), AIME 2024 (83.3%), GPQA (49.1%). 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 7B

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 7B

+18.3%

Average Score:49.1%

Qwen2.5-Omni-7B

Average Score:30.8%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 7B

math

+29.5%

92.8%

code

37.6%

general

+7.5%

66.2%

Qwen2.5-Omni-7B

math

63.3%

code

+38.4%

76.0%

general

58.7%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek R1 Distill Qwen 7B

0 providers

Qwen2.5-Omni-7B

0 providers

DeepSeek R1 Distill Qwen 7B

+18.3%

Avg Score:49.1%

Providers:0

Qwen2.5-Omni-7B

Avg Score:30.8%

Providers:0