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 7B Instruct

Alibaba

Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). 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 7B Instruct

Alibaba

2024-07-23

Gemma 3n E2B Instructed

Google

2025-06-26

11 months newer

Average performance across 6 common benchmarks

Gemma 3n E2B Instructed

Average Score:43.6%

Qwen2 7B Instruct

+8.7%

Average Score:52.3%

Performance comparison across key benchmark categories

Gemma 3n E2B Instructed

math

40.4%

code

33.2%

general

32.8%

Qwen2 7B Instruct

math

+25.5%

66.0%

code

+31.1%

64.2%

general

+16.6%

49.4%

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 7B Instruct

0 providers

Gemma 3n E2B Instructed

Avg Score:43.6%

Providers:0

Qwen2 7B Instruct

+8.7%

Avg Score:52.3%

Providers:0