Benchmark analysis of Ministral 3 14B by Mistral across 32 sourced tests on BenchLM.
According to BenchLM.ai, Ministral 3 14B ranks #70 out of 123 models with an overall score of 55/100. While not a frontier model, it offers specific advantages depending on the use case.
Ministral 3 14B is a open weight model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
Ministral 3 14B sits inside the Ministral 3 14B family alongside Ministral 3 14B (Reasoning).
Its strongest category is Multimodal & Grounded (#52), while its weakest is Knowledge (#75). This performance profile makes it particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Creator
Mistral
Source Type
Open WeightReasoning
Non-ReasoningContext Window
128K
Overall Score
Arena Elo
1233
Ministral 3 14B ranks #70 out of 123 models with an overall score of 55. It is created by Mistral and features a 128K context window.
Ministral 3 14B ranks #75 out of 123 models in knowledge and understanding benchmarks with an average score of 50.1. There are stronger options in this category.
Ministral 3 14B ranks #72 out of 123 models in coding and programming benchmarks with an average score of 33. There are stronger options in this category.
Ministral 3 14B ranks #69 out of 123 models in mathematics benchmarks with an average score of 69.7. There are stronger options in this category.
Ministral 3 14B ranks #75 out of 123 models in reasoning and logic benchmarks with an average score of 63.6. There are stronger options in this category.
Ministral 3 14B ranks #74 out of 123 models in agentic tool use and computer tasks benchmarks with an average score of 48.4. There are stronger options in this category.
Ministral 3 14B ranks #52 out of 123 models in multimodal and grounded tasks benchmarks with an average score of 70.5. There are stronger options in this category.
Ministral 3 14B ranks #71 out of 123 models in instruction following benchmarks with an average score of 80. There are stronger options in this category.
Ministral 3 14B ranks #65 out of 123 models in multilingual tasks benchmarks with an average score of 76.8. There are stronger options in this category.
Yes, Ministral 3 14B is an open weight model created by Mistral, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Ministral 3 14B belongs to the Ministral 3 14B family. Related variants on BenchLM include Ministral 3 14B (Reasoning).
Ministral 3 14B has a context window of 128K, which determines how much text it can process in a single interaction.
New model releases, benchmark scores, and leaderboard changes. Every Friday.
Free. Your signup is stored with a derived country code for compliance routing.