Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 4.5% higher average benchmark score. GPT-4.1 nano offers 824.3K more tokens in context window than Ministral 8B Instruct. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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
Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
6 months newer
Ministral 8B Instruct
Mistral AI
2024-10-16
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 nano
Ministral 8B Instruct
Context window and performance specifications
Average performance across 35 common benchmarks
GPT-4.1 nano
Ministral 8B Instruct
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
Ministral 8B Instruct
GPT-4.1 nano
Ministral 8B Instruct
GPT-4.1 nano
Ministral 8B Instruct
Mistral AI