Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 8.4% higher average benchmark score. GPT-4.1 nano offers 944.3K more tokens in context window than Grok-2. GPT-4.1 nano is $11.50 cheaper per million tokens. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 OpenAI'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.
8 months newer
Grok-2
xAI
2024-08-13
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 nano
Grok-2
Context window and performance specifications
Average performance across 29 common benchmarks
GPT-4.1 nano
Grok-2
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
Grok-2
GPT-4.1 nano
Grok-2
GPT-4.1 nano
Grok-2
xAI