Gemma 3 4B vs Qwen2.5-Omni-7B
Qwen2.5-Omni-7B leads the LLM Stats Score 5.2 to -1.9.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5-Omni-7B leads the overall LLM Stats Score 5.2 to -1.9, ranking #299 overall.
In the 10 individual benchmarks reported for both models, Qwen2.5-Omni-7B 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 predictable pricing at $0.02/M input and $0.04/M output
Choose Qwen2.5-Omni-7B
- overall performance matters — it scores 5.2 and ranks #299 on LLM Stats
- you value its reported benchmark strengths — it wins 8 of 10 exact shared results
- you want the most recent training data — it shipped Mar 2025
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 · 45 for Qwen2.5-Omni-7B
Gemma 3 4B outperforms in 2 benchmarks (GSM8k, MATH), while Qwen2.5-Omni-7B is better at 7 benchmarks (AI2D, ChartQA, DocVQA, HumanEval, MBPP, MMLU-Pro, TextVQA).
Qwen2.5-Omni-7B 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
Qwen2.5-Omni-7B has 3.0B more parameters than Gemma 3 4B, making it 75.0% 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-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 4B
Qwen2.5-Omni-7B
License
Usage and distribution terms
Gemma 3 4B is licensed under Gemma, while Qwen2.5-Omni-7B 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-Omni-7B was released on 2025-03-27.
Qwen2.5-Omni-7B is 1 month newer than Gemma 3 4B.
Mar 12, 2025
1.5 years ago
Mar 27, 2025
1.5 years ago
2w newerKnowledge Cutoff
When training data ends
Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while Qwen2.5-Omni-7B'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-Omni-7B's cutoff date.
Aug 2024
—
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 4B and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 4B vs Qwen2.5-Omni-7B.