Gemma 3 27B vs Qwen2 7B Instruct
Gemma 3 27B leads the LLM Stats Score 8.3 to -4.5.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Gemma 3 27B leads the overall LLM Stats Score 8.3 to -4.5, ranking #280 overall.
In the 7 individual benchmarks reported for both models, Gemma 3 27B wins 7; 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 27B
- overall performance matters — it scores 8.3 and ranks #280 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 7 of 7 exact shared results
- you want the most recent training data — it shipped Mar 2025
Choose Qwen2 7B 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
27 reported for Gemma 3 27B · 14 for Qwen2 7B Instruct
Gemma 3 27B outperforms in 7 benchmarks (GPQA, GSM8k, HumanEval, LiveCodeBench, MATH, MBPP, MMLU-Pro), while Qwen2 7B Instruct is better at 0 benchmarks.
Gemma 3 27B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Gemma 3 27B has 19.4B more parameters than Qwen2 7B Instruct, making it 254.3% larger.
Context Window
Maximum input and output token capacity
Only Gemma 3 27B specifies input context (131,072 tokens). Only Gemma 3 27B specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Gemma 3 27B supports multimodal inputs, whereas Qwen2 7B Instruct does not.
Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3 27B
Qwen2 7B Instruct
License
Usage and distribution terms
Gemma 3 27B is licensed under Gemma, while Qwen2 7B 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 27B was released on 2025-03-12, while Qwen2 7B Instruct was released on 2024-07-23.
Gemma 3 27B is 8 months newer than Qwen2 7B Instruct.
Mar 12, 2025
1.5 years ago
7mo newerJul 23, 2024
2.2 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 Gemma 3 27B and Qwen2 7B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 27B vs Qwen2 7B Instruct.