Audience
Developers, researchers, businesses, and public-sector teams building AI applications and workflows, including work in engineering, manufacturing, finance, cybersecurity, and science.
About Mistral Large 4
Mistral Large 4 is a general-purpose multimodal language model available through Mistral’s hosted inference API. It combines instruction following, reasoning and agentic capabilities, and accepts image and text inputs. Developers can use it for chat completion, structured outputs, function calling, document question answering, tool-assisted workflows and other application features. Its documented use cases include conversational assistants, coding and software engineering agents, cybersecurity analysis, finance and legal workflows, scientific research, data extraction, summarization, and analysis of documents, charts and images. Mistral Large 4 is designed for developers, researchers, businesses and public-sector teams building AI-powered applications across industries such as engineering, manufacturing, finance, logistics and science.
Pricing
Output: $4.18 per 1 million tokens
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Product Details
Mistral Large 4 Frequently Asked Questions
Mistral Large 4 Product Features
Mistral Large 4 Verified User Reviews
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"Great open source AI model out of Europe" Posted 2026-10-07
Pros: Mistral Large 4 is a big improvement over previous Mistral models. I am impressed with its coding, reasoning, and ability to handle longer, more complicated tasks without losing track of the instructions. The multimodal capabilities are also quite good, especially when working with documents, charts, and images.
Cons: The model is powerful, but it isn't as consistently reliable as the very best closed models on difficult reasoning tasks. I occasionally had to correct or re-prompt it when an answer sounded confident but missed an important detail. It's also an enormous model, so running the open weights yourself will require substantial hardware.
Overall: Mistral Large 4 is easily one of the strongest models Mistral has released. It's fast, capable, and particularly good for coding, agentic workflows, and technical work. The combination of strong performance, multimodal capabilities, a huge context window, and open weights makes it especially compelling, even if it doesn't quite match the best frontier models in every situation.
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