Gemma 3 4B vs Qwen2.5 VL 32B Instruct
Qwen2.5 VL 32B Instruct leads the LLM Stats Score 9.9 to -1.7.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5 VL 32B Instruct leads the overall LLM Stats Score 9.9 to -1.7, ranking #258 overall.
In the 8 individual benchmarks reported for both models, Qwen2.5 VL 32B Instruct wins 8; 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 Gemma 3 4B
- you want the most recent training data — it shipped Mar 2025
Choose Qwen2.5 VL 32B Instruct
- overall performance matters — it scores 9.9 and ranks #258 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 8 of 8 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
26 reported for Gemma 3 4B · 28 for Qwen2.5 VL 32B Instruct
Gemma 3 4B outperforms in 0 benchmarks, while Qwen2.5 VL 32B Instruct is better at 8 benchmarks (DocVQA, GPQA, HumanEval, InfoVQA, MATH, MathVista-Mini, 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 29.5B more parameters than Gemma 3 4B, making it 737.5% larger.
Context Window
Maximum input and output token capacity
Only Gemma 3 4B specifies input context (131,072 tokens). Only Gemma 3 4B specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Both Gemma 3 4B and Qwen2.5 VL 32B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 4B
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
Gemma 3 4B is licensed under Gemma, while Qwen2.5 VL 32B Instruct 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 4B was released on 2025-03-12, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Gemma 3 4B is 0 month newer than Qwen2.5 VL 32B Instruct.
Mar 12, 2025
1.5 years ago
1w newerFeb 28, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while Qwen2.5 VL 32B Instruct's cutoff date is not specified.
We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without Qwen2.5 VL 32B Instruct's cutoff date.
Aug 2024
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Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 4B and Qwen2.5 VL 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 4B vs Qwen2.5 VL 32B Instruct.