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.

Grok-1.5

xAI

Grok-1.5 is a language model developed by xAI. It achieves strong performance with an average score of 63.9% across 9 benchmarks. It excels particularly in GSM8k (90.0%), DocVQA (85.6%), MMLU (81.3%). Released in 2024, it represents xAI's latest advancement in AI technology.

Grok-1.5

xAI

2024-03-28

Gemma 3n E2B Instructed

Google

2025-06-26

1 year newer

Average performance across 4 common benchmarks

Gemma 3n E2B Instructed

Average Score:48.0%

Grok-1.5

+12.6%

Average Score:60.6%

Performance comparison across key benchmark categories

Gemma 3n E2B Instructed

code

33.2%

math

40.4%

general

32.8%

Grok-1.5

code

+40.9%

74.1%

math

+24.1%

64.5%

general

+23.3%

56.1%

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

Grok-1.5

0 providers

Gemma 3n E2B Instructed

Avg Score:48.0%

Providers:0

Grok-1.5

+12.6%

Avg Score:60.6%

Providers:0