Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 16.4% higher average benchmark score. Grok-3 offers 72.0K more tokens in context window than Gemma 3n E4B Instructed. Grok-3 is $42.00 cheaper per million tokens. Overall, Gemma 3n E4B Instructed is the stronger choice for coding tasks.
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.
xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). 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 2025, it represents xAI's latest advancement in AI technology.
4 months newer
Grok-3
xAI
2025-02-17
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
Gemma 3n E4B Instructed
Grok-3
Context window and performance specifications
Average performance across 20 common benchmarks
Gemma 3n E4B Instructed
Grok-3
Gemma 3n E4B Instructed
2024-06-01
Grok-3
2024-11-17
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
Grok-3
Gemma 3n E4B Instructed
Grok-3
Gemma 3n E4B Instructed
Grok-3
xAI