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

Gemma 3n E4B Instructed
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. 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-2
xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. 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.

Grok-2
xAI
2024-08-13

Gemma 3n E4B Instructed
2025-06-26
10 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemma 3n E4B Instructed

Grok-2
Performance Metrics
Context window and performance specifications

Gemma 3n E4B Instructed

Grok-2
Average performance across 4 common benchmarks

Gemma 3n E4B Instructed

Grok-2
Performance comparison across key benchmark categories

Gemma 3n E4B Instructed

Grok-2
Gemma 3n E4B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B Instructed
Together

Grok-2
xAI

Gemma 3n E4B Instructed

Grok-2