Qwen2.5 14B Instruct vs Qwen2.5 VL 32B Instruct
Qwen2.5 VL 32B Instruct leads the LLM Stats Score 9.7 to 3.8.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5 VL 32B Instruct leads the overall LLM Stats Score 9.7 to 3.8, ranking #267 overall.
In the 6 individual benchmarks reported for both models, Qwen2.5 VL 32B Instruct wins 5; 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 Qwen2.5 14B Instruct
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
Choose Qwen2.5 VL 32B Instruct
- overall performance matters — it scores 9.7 and ranks #267 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 6 exact shared results
- you want the most recent training data — it shipped Feb 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for Qwen2.5 14B Instruct · 28 for Qwen2.5 VL 32B Instruct
Qwen2.5 14B Instruct outperforms in 1 benchmarks (MMLU), while Qwen2.5 VL 32B Instruct is better at 5 benchmarks (GPQA, HumanEval, MATH, MBPP, MMLU-Pro).
Qwen2.5 VL 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 VL 32B Instruct has 18.8B more parameters than Qwen2.5 14B Instruct, making it 127.9% larger.
Input capabilities
Documented input modalities across available providers
Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.
Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen2.5 14B Instruct
Qwen2.5 VL 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
Qwen2.5 14B Instruct was released on 2024-09-19, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Qwen2.5 VL 32B Instruct is 5 months newer than Qwen2.5 14B Instruct.
Sep 19, 2024
2.0 years ago
Feb 28, 2025
1.5 years ago
5mo newerKnowledge 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 Qwen2.5 14B Instruct and Qwen2.5 VL 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen2.5 14B Instruct vs Qwen2.5 VL 32B Instruct.