Model Comparison
Gemma 3 1B vs Qwen3 VL 235B A22B ThinkingWhich is better in 2026?
Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.
Verdict: Gemma 3 1B vs Qwen3 VL 235B A22B Thinking — which is better?
Gemma 3 1B (by Google) and Qwen3 VL 235B A22B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Gemma 3 1B outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 3 benchmarks (IFEval, MMLU-Pro, SimpleQA). Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.
Choose Gemma 3 1B if…
- you are already invested in the Google ecosystem
Choose Qwen3 VL 235B A22B Thinking if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you want the most recent training data — it shipped Sep 2025
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 1B outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 3 benchmarks (IFEval, MMLU-Pro, SimpleQA).
Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen3 VL 235B A22B Thinking has 235.0B more parameters than Gemma 3 1B, making it 23500.0% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 235B A22B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Thinking specifies output context (262,144 tokens).
Input Capabilities
Supported data types and modalities
Qwen3 VL 235B A22B Thinking supports multimodal inputs, whereas Gemma 3 1B does not.
Qwen3 VL 235B A22B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3 1B
Qwen3 VL 235B A22B Thinking
License
Usage and distribution terms
Gemma 3 1B is licensed under Gemma, while Qwen3 VL 235B A22B Thinking 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 1B was released on 2025-03-12, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.
Qwen3 VL 235B A22B Thinking is 6 months newer than Gemma 3 1B.
Mar 12, 2025
1.2 years ago
Sep 22, 2025
8 months ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Gemma 3 1B
View detailsNo standout differentiators in the data we have for this pair.
Qwen3 VL 235B A22B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Gemma 3 1B vs Qwen3 VL 235B A22B Thinking.