Model Comparison
Ministral 3 (3B Base 2512) vs Ministral 3 (8B Base 2512)
Ministral 3 (8B Base 2512) significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Ministral 3 (3B Base 2512) outperforms in 0 benchmarks, while Ministral 3 (8B Base 2512) is better at 6 benchmarks (AGIEval, MATH (CoT), MMLU, MMLU-Redux, Multilingual MMLU, TriviaQA).
Ministral 3 (8B Base 2512) significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Ministral 3 (8B Base 2512) has 5.0B more parameters than Ministral 3 (3B Base 2512), making it 166.7% larger.
Input Capabilities
Supported data types and modalities
Both Ministral 3 (3B Base 2512) and Ministral 3 (8B Base 2512) support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Ministral 3 (3B Base 2512)
Ministral 3 (8B Base 2512)
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Both models were released on 2025-12-04.
They likely represent similar generations of model development.
Dec 4, 2025
4 months ago
Dec 4, 2025
4 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Ministral 3 (3B Base 2512)
View detailsMistral AI
Ministral 3 (8B Base 2512)
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about Ministral 3 (3B Base 2512) vs Ministral 3 (8B Base 2512)