Model Comparison

Gemma 3 27B vs Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3 27B outperforms in 0 benchmarks, while Qwen2-VL-72B-Instruct is better at 3 benchmarks (ChartQA, MathVista-Mini, TextVQA).

Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

46.4B diff

Qwen2-VL-72B-Instruct has 46.4B more parameters than Gemma 3 27B, making it 171.9% larger.

Google
Gemma 3 27B
27.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
27.0B
Gemma 3 27B
73.4B
Qwen2-VL-72B-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).

Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3 27B and Qwen2-VL-72B-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-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 27B is licensed under Gemma, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Gemma 3 27B

Gemma

Open weights

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Gemma 3 27B was released on 2025-03-12, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Gemma 3 27B is 7 months newer than Qwen2-VL-72B-Instruct.

Gemma 3 27B

Mar 12, 2025

1.1 years ago

6mo newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Gemma 3 27B's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Gemma 3 27B's cutoff date.

Gemma 3 27B

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

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Key Takeaways

Larger context window (131,072 tokens)
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Higher ChartQA score (88.3% vs 78.0%)
Higher MathVista-Mini score (70.5% vs 67.6%)
Higher TextVQA score (85.5% vs 65.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 27B
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct

FAQ

Common questions about Gemma 3 27B vs Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks. Gemma 3 27B is made by Google and Qwen2-VL-72B-Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench_test: 86.5%.
Gemma 3 27B supports 131K tokens and Qwen2-VL-72B-Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Gemma vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.
Gemma 3 27B is developed by Google and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.