Ministral 3 (3B Base 2512) vs Qwen2.5-Coder 32B Instruct
Ministral 3 (3B Base 2512) and Qwen2.5-Coder 32B Instruct are closely matched at -6.7 and 1.7 on the LLM Stats Score.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Ministral 3 (3B Base 2512) and Qwen2.5-Coder 32B Instruct are closely matched on the overall LLM Stats Score at -6.7 and 1.7.
In the 2 individual benchmarks reported for both models, Qwen2.5-Coder 32B Instruct wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Ministral 3 (3B Base 2512)
- you want the most recent training data — it shipped Dec 2025
Choose Qwen2.5-Coder 32B Instruct
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for Ministral 3 (3B Base 2512) · 15 for Qwen2.5-Coder 32B Instruct
Ministral 3 (3B Base 2512) outperforms in 0 benchmarks, while Qwen2.5-Coder 32B Instruct is better at 2 benchmarks (MMLU, MMLU-Redux).
Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2.5-Coder 32B Instruct has 29.0B more parameters than Ministral 3 (3B Base 2512), making it 966.7% larger.
Context Window
Maximum input and output token capacity
Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Ministral 3 (3B Base 2512) supports multimodal inputs, whereas Qwen2.5-Coder 32B Instruct does not.
Ministral 3 (3B Base 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ministral 3 (3B Base 2512)
Qwen2.5-Coder 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 (3B Base 2512) was released on 2025-12-04, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.
Ministral 3 (3B Base 2512) is 15 months newer than Qwen2.5-Coder 32B Instruct.
Dec 4, 2025
10 months ago
1.2yr newerSep 19, 2024
2.1 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 (3B Base 2512) and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ministral 3 (3B Base 2512) vs Qwen2.5-Coder 32B Instruct.
Related comparisons
More Ministral 3 (3B Base 2512) comparisons
- Ministral 3 (3B Base 2512) vs MiniMax M3.1 Flash
- Ministral 3 (3B Base 2512) vs DeepSeek-V4.1-Flash-1017
- Ministral 3 (3B Base 2512) vs Nemotron Labs Dory 1.0 (4B)
- Ministral 3 (3B Base 2512) vs Muse Spark Open
- Ministral 3 (3B Base 2512) vs Nemotron 3.5 Bolt (74B A9B 24GB)
- Ministral 3 (3B Base 2512) vs Nemotron 3.5 Super VL (120B A12B)
More Qwen2.5-Coder 32B Instruct comparisons
- Qwen2.5-Coder 32B Instruct vs MiniMax M3.1 Flash
- Qwen2.5-Coder 32B Instruct vs DeepSeek-V4.1-Flash-1017
- Qwen2.5-Coder 32B Instruct vs Nemotron Labs Dory 1.0 (4B)
- Qwen2.5-Coder 32B Instruct vs Muse Spark Open
- Qwen2.5-Coder 32B Instruct vs Nemotron 3.5 Bolt (74B A9B 24GB)
- Qwen2.5-Coder 32B Instruct vs Nemotron 3.5 Super VL (120B A12B)