Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 10.6% higher average benchmark score. GPT-4.1 nano offers 824.3K more tokens in context window than Mistral NeMo Instruct. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. 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.
Mistral AI
Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
9 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 nano
Mistral NeMo Instruct
Context window and performance specifications
Average performance across 32 common benchmarks
GPT-4.1 nano
Mistral NeMo Instruct
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
Mistral NeMo Instruct
GPT-4.1 nano
Mistral NeMo Instruct
GPT-4.1 nano
Mistral NeMo Instruct
Mistral AI