Model Comparison

Gemma 2 9B vs Qwen3 VL 30B A3B Instruct

Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 2 9B outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Instruct is better at 1 benchmark (MMLU).

Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks.

Thu Apr 30 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
Thu Apr 30 2026 • llm-stats.com
Google
Gemma 2 9B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
Input tokens$0.20
Output tokens$0.70
Best providerNovita
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Model Size

Parameter count comparison

21.8B diff

Qwen3 VL 30B A3B Instruct has 21.8B more parameters than Gemma 2 9B, making it 235.5% larger.

Google
Gemma 2 9B
9.2Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
31.0Bparameters
9.2B
Gemma 2 9B
31.0B
Qwen3 VL 30B A3B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 30B A3B Instruct specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Instruct specifies output context (32,768 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
Input131,072 tokens
Output32,768 tokens
Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 30B A3B Instruct supports multimodal inputs, whereas Gemma 2 9B does not.

Qwen3 VL 30B A3B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 9B

Text
Images
Audio
Video

Qwen3 VL 30B A3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Qwen3 VL 30B A3B Instruct uses Apache 2.0.

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

Gemma 2 9B

Gemma

Open weights

Qwen3 VL 30B A3B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.

Qwen3 VL 30B A3B Instruct is 15 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

1.8 years ago

Qwen3 VL 30B A3B Instruct

Sep 22, 2025

7 months ago

1.2yr 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

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3 VL 30B A3B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Supports multimodal inputs
Higher MMLU score (85.0% vs 71.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 9B
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct

FAQ

Common questions about Gemma 2 9B vs Qwen3 VL 30B A3B Instruct

Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks. Gemma 2 9B is made by Google and Qwen3 VL 30B A3B 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 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Qwen3 VL 30B A3B Instruct scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, OCRBench: 90.3%, MMLU-Redux: 88.4%, MMBench-V1.1: 87.0%.
Gemma 2 9B supports an unknown number of tokens and Qwen3 VL 30B A3B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemma 2 9B is developed by Google and Qwen3 VL 30B A3B Instruct is developed by Alibaba Cloud / Qwen Team.