Model Comparison
Gemma 3 1B vs Ministral 3 (8B Reasoning 2512)
Ministral 3 (8B Reasoning 2512) significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 1B outperforms in 0 benchmarks, while Ministral 3 (8B Reasoning 2512) is better at 2 benchmarks (GPQA, LiveCodeBench).
Ministral 3 (8B Reasoning 2512) significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Ministral 3 (8B Reasoning 2512) has 7.0B more parameters than Gemma 3 1B, making it 700.0% larger.
Context Window
Maximum input and output token capacity
Only Ministral 3 (8B Reasoning 2512) specifies input context (262,100 tokens). Only Ministral 3 (8B Reasoning 2512) specifies output context (262,100 tokens).
Input Capabilities
Supported data types and modalities
Ministral 3 (8B Reasoning 2512) supports multimodal inputs, whereas Gemma 3 1B does not.
Ministral 3 (8B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3 1B
Ministral 3 (8B Reasoning 2512)
License
Usage and distribution terms
Gemma 3 1B is licensed under Gemma, while Ministral 3 (8B Reasoning 2512) uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemma 3 1B was released on 2025-03-12, while Ministral 3 (8B Reasoning 2512) was released on 2025-12-04.
Ministral 3 (8B Reasoning 2512) is 9 months newer than Gemma 3 1B.
Mar 12, 2025
1.2 years ago
Dec 4, 2025
6 months ago
8mo newerKnowledge 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
Gemma 3 1B
View detailsNo standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about Gemma 3 1B vs Ministral 3 (8B Reasoning 2512).