Model Comparison

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

Google

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.

xAI

Grok-2 mini

xAI

Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.0% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.

xAI

Grok-2 mini

xAI

2024-08-13

Google

Gemma 3n E2B Instructed

Google

2025-06-26

10 months newer

Average performance across 4 common benchmarks

Google

Gemma 3n E2B Instructed

Average Score:48.0%
xAI

Grok-2 mini

+25.7%
Average Score:73.7%

Performance comparison across key benchmark categories

Google

Gemma 3n E2B Instructed

code
33.2%
math
40.4%
general
32.8%
xAI

Grok-2 mini

code
+52.5%
85.7%
math
+30.1%
70.5%
general
+37.0%
69.7%
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

Google

Gemma 3n E2B Instructed

0 providers
xAI

Grok-2 mini

0 providers
Google

Gemma 3n E2B Instructed

Avg Score:48.0%
Providers:0
xAI

Grok-2 mini

+25.7%
Avg Score:73.7%
Providers:0