Mistral Small 3.2 24B Instruct vs Qwen2.5 14B Instruct
Mistral Small 3.2 24B Instruct and Qwen2.5 14B Instruct are closely matched at 8.4 and 3.8 on the LLM Stats Score.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Mistral Small 3.2 24B Instruct and Qwen2.5 14B Instruct are closely matched on the overall LLM Stats Score at 8.4 and 3.8.
In the 4 individual benchmarks reported for both models, Mistral Small 3.2 24B Instruct wins 3; 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 Mistral Small 3.2 24B Instruct
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- you want the most recent training data — it shipped Jun 2025
Choose Qwen2.5 14B Instruct
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for Mistral Small 3.2 24B Instruct · 16 for Qwen2.5 14B Instruct
Mistral Small 3.2 24B Instruct outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Qwen2.5 14B Instruct is better at 1 benchmark (MATH).
Mistral Small 3.2 24B Instruct shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Mistral Small 3.2 24B Instruct has 8.9B more parameters than Qwen2.5 14B Instruct, making it 60.5% larger.
Context Window
Maximum input and output token capacity
Only Mistral Small 3.2 24B Instruct specifies input context (128,000 tokens). Only Mistral Small 3.2 24B Instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.
Mistral Small 3.2 24B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral Small 3.2 24B Instruct
Qwen2.5 14B 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
Mistral Small 3.2 24B Instruct was released on 2025-06-20, while Qwen2.5 14B Instruct was released on 2024-09-19.
Mistral Small 3.2 24B Instruct is 9 months newer than Qwen2.5 14B Instruct.
Jun 20, 2025
1.3 years ago
9mo newerSep 19, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Qwen2.5 14B Instruct's cutoff date is not specified.
We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Qwen2.5 14B Instruct's cutoff date.
Oct 2023
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Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Small 3.2 24B Instruct and Qwen2.5 14B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Small 3.2 24B Instruct vs Qwen2.5 14B Instruct.