Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 43.4% higher average benchmark score. GPT-4.1 offers 824.3K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $9.60 cheaper per million tokens. Overall, GPT-4.1 is the stronger choice for coding tasks.
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.
Mistral AI
Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
28 days newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
GPT-4.1
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 32 common benchmarks
GPT-4.1
Mistral Small 3.1 24B Base
GPT-4.1
2024-06-01
Available providers and their performance metrics
GPT-4.1
OpenAI
Mistral Small 3.1 24B Base
GPT-4.1
Mistral Small 3.1 24B Base
GPT-4.1
Mistral Small 3.1 24B Base
Mistral AI