Benchmark analysis of Ministral 3 3B (Reasoning) by Mistral across 32 sourced tests on BenchLM.
According to BenchLM.ai, Ministral 3 3B (Reasoning) ranks #119 out of 123 models with an overall score of 31/100. While not a frontier model, it offers specific advantages depending on the use case.
Ministral 3 3B (Reasoning) is a open weight model with a 128K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
Ministral 3 3B (Reasoning) sits inside the Ministral 3 3B family alongside Ministral 3 3B.
Its strongest category is Instruction Following (#105), while its weakest is Knowledge (#120). This performance profile makes it a well-rounded choice across a range of tasks.
Creator
Mistral
Source Type
Open WeightReasoning
ReasoningContext Window
128K
Overall Score
Arena Elo
1043
Ministral 3 3B (Reasoning) ranks #119 out of 123 models with an overall score of 31. It is created by Mistral and features a 128K context window.
Ministral 3 3B (Reasoning) ranks #120 out of 123 models in knowledge and understanding benchmarks with an average score of 25.2. There are stronger options in this category.
Ministral 3 3B (Reasoning) ranks #119 out of 123 models in coding and programming benchmarks with an average score of 7.2. There are stronger options in this category.
Ministral 3 3B (Reasoning) ranks #112 out of 123 models in mathematics benchmarks with an average score of 40.9. There are stronger options in this category.
Ministral 3 3B (Reasoning) ranks #117 out of 123 models in reasoning and logic benchmarks with an average score of 35.3. There are stronger options in this category.
Ministral 3 3B (Reasoning) ranks #106 out of 123 models in agentic tool use and computer tasks benchmarks with an average score of 34. There are stronger options in this category.
Ministral 3 3B (Reasoning) ranks #120 out of 123 models in multimodal and grounded tasks benchmarks with an average score of 30.4. There are stronger options in this category.
Ministral 3 3B (Reasoning) ranks #105 out of 123 models in instruction following benchmarks with an average score of 68. There are stronger options in this category.
Ministral 3 3B (Reasoning) ranks #108 out of 123 models in multilingual tasks benchmarks with an average score of 59.7. There are stronger options in this category.
Yes, Ministral 3 3B (Reasoning) 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 3B (Reasoning) belongs to the Ministral 3 3B family. Related variants on BenchLM include Ministral 3 3B.
Ministral 3 3B (Reasoning) has a context window of 128K, which determines how much text it can process in a single interaction.
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