Comprehensive side-by-side LLM comparison
Grok-2 leads with 2.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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.
xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.1% 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.
Launched on the same date
Grok-2
xAI
2024-08-13
Grok-2 mini
xAI
2024-08-13
Context window and performance specifications
Average performance across 8 common benchmarks
Grok-2
Grok-2 mini
Available providers and their performance metrics
Grok-2
xAI
Grok-2 mini
Grok-2
Grok-2 mini
Grok-2
Grok-2 mini