Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 47.8% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Devstral Small 1.1. Devstral Small 1.1 is $1.60 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
Mistral AI
Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 mini
OpenAI
2025-04-14
Devstral Small 1.1
Mistral AI
2025-07-11
Cost per million tokens (USD)
Devstral Small 1.1
GPT-4.1 mini
Context window and performance specifications
Average performance across 29 common benchmarks
Devstral Small 1.1
GPT-4.1 mini
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics
Devstral Small 1.1
Mistral AI
GPT-4.1 mini
Devstral Small 1.1
GPT-4.1 mini
Devstral Small 1.1
GPT-4.1 mini
OpenAI
ZeroEval