Model Comparison

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

Gemma 3n E2B Instructed

Google

Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

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.

Qwen2.5 32B Instruct

Alibaba

2024-09-19

Gemma 3n E2B Instructed

Google

2025-06-26

9 months newer

Average performance across 5 common benchmarks

Gemma 3n E2B Instructed

Average Score:49.7%

Qwen2.5 32B Instruct

+25.1%

Average Score:74.8%

Performance comparison across key benchmark categories

Gemma 3n E2B Instructed

math

40.4%

code

33.2%

general

32.8%

Qwen2.5 32B Instruct

math

+49.1%

89.5%

code

+39.8%

73.0%

general

+38.6%

71.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemma 3n E2B Instructed

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemma 3n E2B Instructed

0 providers

Qwen2.5 32B Instruct

0 providers

Gemma 3n E2B Instructed

Avg Score:49.7%

Providers:0

Qwen2.5 32B Instruct

+25.1%

Avg Score:74.8%

Providers:0