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 32B Instruct

Alibaba

Qwen2.5 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5 32B Instruct

Alibaba

2024-09-19

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

2025-01-20

4 months newer

Average performance across 1 common benchmarks

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

Average Score:33.8%
Alibaba

Qwen2.5 32B Instruct

+15.7%
Average Score:49.5%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

math
83.9%
code
16.9%
general
43.3%
Alibaba

Qwen2.5 32B Instruct

math
+5.6%
89.5%
code
+56.1%
73.0%
general
+28.1%
71.3%
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 32B Instruct

0 providers
DeepSeek

DeepSeek R1 Distill Qwen 1.5B

Avg Score:33.8%
Providers:0
Alibaba

Qwen2.5 32B Instruct

+15.7%
Avg Score:49.5%
Providers:0