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-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). 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-Coder 7B 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:47.4%

Qwen2.5-Coder 7B Instruct

+12.2%

Average Score:59.6%

Performance comparison across key benchmark categories

Gemma 3n E2B Instructed

math

40.4%

code

33.2%

general

32.8%

Qwen2.5-Coder 7B Instruct

math

+24.8%

65.3%

code

+24.1%

57.3%

general

+19.5%

52.3%

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-Coder 7B Instruct

0 providers

Gemma 3n E2B Instructed

Avg Score:47.4%

Providers:0

Qwen2.5-Coder 7B Instruct

+12.2%

Avg Score:59.6%

Providers:0