Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 9.1% higher average benchmark score. GPT-4.1 nano offers 1.0M more tokens in context window than Mistral Small 3 24B Instruct. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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
Mistral Small 3 24B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 71.7% across 8 benchmarks. It excels particularly in Arena Hard (87.6%), HumanEval (84.8%), MT-Bench (83.5%). The model is available through 2 API providers. 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.
2 months newer
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 nano
Mistral Small 3 24B Instruct
Context window and performance specifications
Average performance across 31 common benchmarks
GPT-4.1 nano
Mistral Small 3 24B Instruct
Mistral Small 3 24B Instruct
2023-10-01
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
Mistral Small 3 24B Instruct
GPT-4.1 nano
Mistral Small 3 24B Instruct
GPT-4.1 nano
Mistral Small 3 24B Instruct
DeepInfra
Mistral AI