Ministral 3 (14B Base 2512) vs Qwen2.5 32B Instruct
Qwen2.5 32B Instruct significantly outperforms across most benchmarks.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Ministral 3 (14B Base 2512) outperforms in 0 benchmarks, while Qwen2.5 32B Instruct is better at 2 benchmarks (MMLU, MMLU-Redux). Qwen2.5 32B Instruct significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Ministral 3 (14B Base 2512)
- you want the most recent training data — it shipped Dec 2025
Choose Qwen2.5 32B Instruct
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Ministral 3 (14B Base 2512) outperforms in 0 benchmarks, while Qwen2.5 32B Instruct is better at 2 benchmarks (MMLU, MMLU-Redux).
Qwen2.5 32B Instruct significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
Qwen2.5 32B Instruct has 18.5B more parameters than Ministral 3 (14B Base 2512), making it 132.1% larger.
Input Capabilities
Supported data types and modalities
Ministral 3 (14B Base 2512) supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.
Ministral 3 (14B Base 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ministral 3 (14B Base 2512)
Qwen2.5 32B Instruct
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
Ministral 3 (14B Base 2512) was released on 2025-12-04, while Qwen2.5 32B Instruct was released on 2024-09-19.
Ministral 3 (14B Base 2512) is 15 months newer than Qwen2.5 32B Instruct.
Dec 4, 2025
8 months ago
1.2yr newerSep 19, 2024
1.9 years 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
Judge for yourself.
Run your own prompts against Ministral 3 (14B Base 2512) and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ministral 3 (14B Base 2512) vs Qwen2.5 32B Instruct.