Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 30.5% higher average benchmark score. GPT-4.1 nano offers 824.3K more tokens in context window than Devstral Medium. GPT-4.1 nano is $1.90 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
Mistral AI
Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
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.
2 months newer
GPT-4.1 nano
OpenAI
2025-04-14
Devstral Medium
Mistral AI
2025-07-10
Cost per million tokens (USD)
Devstral Medium
GPT-4.1 nano
Context window and performance specifications
Average performance across 26 common benchmarks
Devstral Medium
GPT-4.1 nano
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
Devstral Medium
Mistral AI
GPT-4.1 nano
Devstral Medium
GPT-4.1 nano
Devstral Medium
GPT-4.1 nano
OpenAI