Model Comparison

Gemma 3 12B vs Qwen2.5 VL 7B Instruct

Qwen2.5 VL 7B Instruct significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemma 3 12B outperforms in 0 benchmarks, while Qwen2.5 VL 7B Instruct is better at 5 benchmarks (ChartQA, DocVQA, InfoVQA, MathVista-Mini, TextVQA).

Qwen2.5 VL 7B Instruct significantly outperforms across most benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

3.7B diff

Gemma 3 12B has 3.7B more parameters than Qwen2.5 VL 7B Instruct, making it 44.8% larger.

Gemma 3 12B

12.0Bparameters

Qwen2.5 VL 7B Instruct

8.3Bparameters

12.0B

Gemma 3 12B

8.3B

Qwen2.5 VL 7B Instruct

Context Window

Maximum input and output token capacity

Only Gemma 3 12B specifies input context (131,072 tokens). Only Gemma 3 12B specifies output context (131,072 tokens).

Gemma 3 12B

Input131,072 tokens

Output131,072 tokens

Qwen2.5 VL 7B Instruct

Input- tokens

Output- tokens

Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3 12B and Qwen2.5 VL 7B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3 12B

Text

Images

Audio

Video

Qwen2.5 VL 7B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Gemma 3 12B is licensed under Gemma, while Qwen2.5 VL 7B Instruct uses Apache 2.0.

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

Gemma 3 12B

Gemma

Open weights

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3 12B was released on 2025-03-12, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

Gemma 3 12B is 2 months newer than Qwen2.5 VL 7B Instruct.

Gemma 3 12B

Mar 12, 2025

1.2 years ago

1mo newer

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.3 years ago

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

Gemma 3 12B

View details

Google

Larger context window (131,072 tokens)

Qwen2.5 VL 7B Instruct

View details

Alibaba Cloud / Qwen Team

Higher ChartQA score (87.3% vs 75.7%)

Higher DocVQA score (95.7% vs 87.1%)

Higher InfoVQA score (82.6% vs 64.9%)

Higher MathVista-Mini score (68.2% vs 62.9%)

Higher TextVQA score (84.9% vs 67.7%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 3 12B	Qwen2.5 VL 7B Instruct

FAQ

Common questions about Gemma 3 12B vs Qwen2.5 VL 7B Instruct.

Which is better, Gemma 3 12B or Qwen2.5 VL 7B Instruct?

Qwen2.5 VL 7B Instruct significantly outperforms across most benchmarks. Gemma 3 12B is made by Google and Qwen2.5 VL 7B 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 12B compare to Qwen2.5 VL 7B Instruct in benchmarks?

Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%. Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%.

What are the context window sizes for Gemma 3 12B and Qwen2.5 VL 7B Instruct?

Gemma 3 12B supports 131K tokens and Qwen2.5 VL 7B Instruct supports an unknown number of 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 12B and Qwen2.5 VL 7B Instruct?

Key differences include licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 12B and Qwen2.5 VL 7B Instruct?

Gemma 3 12B is developed by Google and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.