Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 54.7% higher average benchmark score. GPT-4.1 offers 824.3K more tokens in context window than Devstral Medium. Devstral Medium is $7.60 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Overall, GPT-4.1 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 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). 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
OpenAI
2025-04-14
Devstral Medium
Mistral AI
2025-07-10
Cost per million tokens (USD)
Devstral Medium
GPT-4.1
Context window and performance specifications
Average performance across 30 common benchmarks
Devstral Medium
GPT-4.1
GPT-4.1
2024-06-01
Available providers and their performance metrics
Devstral Medium
Mistral AI
GPT-4.1
Devstral Medium
GPT-4.1
Devstral Medium
GPT-4.1
OpenAI