Model Comparison

Gemma 3 27B vs Qwen2.5 VL 32B Instruct

Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Gemma 3 27B outperforms in 1 benchmarks (MATH), while Qwen2.5 VL 32B Instruct is better at 7 benchmarks (DocVQA, GPQA, HumanEval, InfoVQA, MathVista-Mini, MBPP, MMLU-Pro).

Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks.

Sun May 31 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

6.5B diff

Qwen2.5 VL 32B Instruct has 6.5B more parameters than Gemma 3 27B, making it 24.1% larger.

Gemma 3 27B

27.0Bparameters

Qwen2.5 VL 32B Instruct

33.5Bparameters

27.0B

Gemma 3 27B

33.5B

Qwen2.5 VL 32B Instruct

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).

Gemma 3 27B

Input131,072 tokens

Output131,072 tokens

Qwen2.5 VL 32B Instruct

Input- tokens

Output- tokens

Sun May 31 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3 27B and Qwen2.5 VL 32B Instruct support multimodal inputs.

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

Gemma 3 27B

Text

Images

Audio

Video

Qwen2.5 VL 32B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Gemma 3 27B is licensed under Gemma, while Qwen2.5 VL 32B Instruct uses Apache 2.0.

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

Gemma 3 27B

Gemma

Open weights

Qwen2.5 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3 27B was released on 2025-03-12, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.

Gemma 3 27B is 0 month newer than Qwen2.5 VL 32B Instruct.

Gemma 3 27B

Mar 12, 2025

1.2 years ago

1w newer

Qwen2.5 VL 32B Instruct

Feb 28, 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

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Key Takeaways

Gemma 3 27B

View details

Google

Larger context window (131,072 tokens)

Higher MATH score (89.0% vs 82.2%)

Qwen2.5 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Higher DocVQA score (94.8% vs 86.6%)

Higher GPQA score (46.0% vs 42.4%)

Higher HumanEval score (91.5% vs 87.8%)

Higher InfoVQA score (83.4% vs 70.6%)

Higher MathVista-Mini score (74.7% vs 67.6%)

Higher MBPP score (84.0% vs 74.4%)

Higher MMLU-Pro score (68.8% vs 67.5%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 3 27B	Qwen2.5 VL 32B Instruct

FAQ

Common questions about Gemma 3 27B vs Qwen2.5 VL 32B Instruct.

Which is better, Gemma 3 27B or Qwen2.5 VL 32B Instruct?

Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks. Gemma 3 27B is made by Google and Qwen2.5 VL 32B 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 27B compare to Qwen2.5 VL 32B Instruct in benchmarks?

Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%. Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%.

What are the context window sizes for Gemma 3 27B and Qwen2.5 VL 32B Instruct?

Gemma 3 27B supports 131K tokens and Qwen2.5 VL 32B 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 27B and Qwen2.5 VL 32B Instruct?

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

Who makes Gemma 3 27B and Qwen2.5 VL 32B Instruct?

Gemma 3 27B is developed by Google and Qwen2.5 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.