Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 34.9% higher average benchmark score. Gemma 3 12B offers 126.1K more tokens in context window than Grok-2. Gemma 3 12B is $11.85 cheaper per million tokens. Overall, Gemma 3 12B is the stronger choice for coding tasks.
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
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.
7 months newer
Grok-2
xAI
2024-08-13
Gemma 3 12B
2025-03-12
Cost per million tokens (USD)
Gemma 3 12B
Grok-2
Context window and performance specifications
Average performance across 29 common benchmarks
Gemma 3 12B
Grok-2
Available providers and their performance metrics
Gemma 3 12B
DeepInfra
Grok-2
Gemma 3 12B
Grok-2
Gemma 3 12B
Grok-2
xAI