Model Comparison

Gemma 3 1B vs Qwen3 VL 235B A22B InstructWhich is better in 2026?

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.

Verdict: Gemma 3 1B vs Qwen3 VL 235B A22B Instruct — which is better?

Gemma 3 1B (by Google) and Qwen3 VL 235B A22B Instruct (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 Instruct is better at 3 benchmarks (IFEval, MMLU-Pro, SimpleQA). Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.

Choose Gemma 3 1B if…

  • you are already invested in the Google ecosystem

Choose Qwen3 VL 235B A22B Instruct 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

3 benchmarks

Gemma 3 1B outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Instruct is better at 3 benchmarks (IFEval, MMLU-Pro, SimpleQA).

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.

Sun Jun 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

235.0B diff

Qwen3 VL 235B A22B Instruct has 235.0B more parameters than Gemma 3 1B, making it 23500.0% larger.

Google
Gemma 3 1B
1.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
236.0Bparameters
1.0B
Gemma 3 1B
236.0B
Qwen3 VL 235B A22B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 235B A22B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Instruct specifies output context (262,144 tokens).

Google
Gemma 3 1B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input262,144 tokens
Output262,144 tokens
Sun Jun 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 235B A22B Instruct supports multimodal inputs, whereas Gemma 3 1B does not.

Qwen3 VL 235B A22B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 1B

Text
Images
Audio
Video

Qwen3 VL 235B A22B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 1B is licensed under Gemma, while Qwen3 VL 235B A22B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 3 1B

Gemma

Open weights

Qwen3 VL 235B A22B Instruct

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 Instruct was released on 2025-09-22.

Qwen3 VL 235B A22B Instruct is 6 months newer than Gemma 3 1B.

Gemma 3 1B

Mar 12, 2025

1.3 years ago

Qwen3 VL 235B A22B Instruct

Sep 22, 2025

8 months ago

6mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

No standout differentiators in the data we have for this pair.

Larger context window (262,144 tokens)
Supports multimodal inputs
Higher IFEval score (87.8% vs 80.2%)
Higher MMLU-Pro score (81.8% vs 14.7%)
Higher SimpleQA score (51.9% vs 2.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 1B
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct

FAQ

Common questions about Gemma 3 1B vs Qwen3 VL 235B A22B Instruct.

Which is better, Gemma 3 1B or Qwen3 VL 235B A22B Instruct?

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks. Gemma 3 1B is made by Google and Qwen3 VL 235B A22B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3 1B compare to Qwen3 VL 235B A22B Instruct in benchmarks?

Gemma 3 1B scores IFEval: 80.2%, GSM8k: 62.8%, Natural2Code: 56.0%, MATH: 48.0%, HumanEval: 41.5%. Qwen3 VL 235B A22B Instruct scores DocVQAtest: 97.1%, ScreenSpot: 95.4%, MMLU-Redux: 92.2%, OCRBench: 92.0%, MMBench-V1.1: 89.9%.

What are the context window sizes for Gemma 3 1B and Qwen3 VL 235B A22B Instruct?

Gemma 3 1B supports an unknown number of tokens and Qwen3 VL 235B A22B Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3 1B and Qwen3 VL 235B A22B Instruct?

Key differences include multimodal support (no vs yes), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 1B and Qwen3 VL 235B A22B Instruct?

Gemma 3 1B is developed by Google and Qwen3 VL 235B A22B Instruct is developed by Alibaba Cloud / Qwen Team.