Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 18.6% higher average benchmark score. GPT-4.1 nano offers 944.3K more tokens in context window than Grok-3 Mini. Both models have similar pricing. 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-3 Mini is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 87.8% across 4 benchmarks. It excels particularly in AIME 2024 (95.8%), AIME 2025 (90.8%), GPQA (84.0%). 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.
1 month newer
Grok-3 Mini
xAI
2025-02-17
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 nano
Grok-3 Mini
Context window and performance specifications
Average performance across 27 common benchmarks
GPT-4.1 nano
Grok-3 Mini
GPT-4.1 nano
2024-05-31
Grok-3 Mini
2024-11-17
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
Grok-3 Mini
GPT-4.1 nano
Grok-3 Mini
GPT-4.1 nano
Grok-3 Mini
xAI