Comprehensive side-by-side LLM comparison
Grok-2 leads with 4.1% higher average benchmark score. Grok-2 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
xAI
Grok-1.5 is a language model developed by xAI. It achieves strong performance with an average score of 63.9% across 9 benchmarks. It excels particularly in GSM8k (90.0%), DocVQA (85.6%), MMLU (81.3%). Released in 2024, it represents xAI'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.
4 months newer
Grok-1.5
xAI
2024-03-28
Grok-2
xAI
2024-08-13
Context window and performance specifications
Average performance across 9 common benchmarks
Grok-1.5
Grok-2
Available providers and their performance metrics
Grok-1.5
Grok-2
xAI
Grok-1.5
Grok-2
Grok-1.5
Grok-2