Model Comparison

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

DeepSeek-V3 0324

DeepSeek

DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). 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-V3 0324

DeepSeek

2025-03-25

Qwen2.5-Omni-7B

Alibaba

2025-03-27

2 days newer

Average performance across 2 common benchmarks

DeepSeek-V3 0324

+35.9%

Average Score:74.8%

Qwen2.5-Omni-7B

Average Score:38.9%

Performance comparison across key benchmark categories

DeepSeek-V3 0324

math

+30.7%

94.0%

code

49.2%

general

+11.0%

69.7%

Qwen2.5-Omni-7B

math

63.3%

code

+26.8%

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-V3 0324

0 providers

Qwen2.5-Omni-7B

0 providers

DeepSeek-V3 0324

+35.9%

Avg Score:74.8%

Providers:0

Qwen2.5-Omni-7B

Avg Score:38.9%

Providers:0