The AI arena is free today

Open Superagent

Gemma 2 27B vs Qwen3 VL 4B Instruct

Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemma 2 27B outperforms in 0 benchmarks, while Qwen3 VL 4B Instruct is better at 1 benchmark (MMLU). Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemma 2 27B

  • you are already invested in the Google ecosystem

Choose Qwen3 VL 4B Instruct

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.10 / M
Output price
— / M
$0.60 / M
Context window
262,144
Released
Jun 2024
Sep 2025
License
Gemma
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 2 27B outperforms in 0 benchmarks, while Qwen3 VL 4B Instruct is better at 1 benchmark (MMLU).

Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

23.2B diff

Gemma 2 27B has 23.2B more parameters than Qwen3 VL 4B Instruct, making it 580.0% larger.

Google
Gemma 2 27B
27.2Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
4.0Bparameters
27.2B
Gemma 2 27B
4.0B
Qwen3 VL 4B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 4B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 4B Instruct specifies output context (262,144 tokens).

Google
Gemma 2 27B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input262,144 tokens
Output262,144 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 4B Instruct supports multimodal inputs, whereas Gemma 2 27B does not.

Qwen3 VL 4B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 27B

Text
Images
Audio
Video

Qwen3 VL 4B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 27B is licensed under Gemma, while Qwen3 VL 4B Instruct uses Apache 2.0.

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

Gemma 2 27B

Gemma

Open weights

Qwen3 VL 4B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 2 27B was released on 2024-06-27, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 15 months newer than Gemma 2 27B.

Gemma 2 27B

Jun 27, 2024

2.2 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

11 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

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemma 2 27B and Qwen3 VL 4B Instruct side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
Qwen3 VL 4B Instruct
Open in Playground

FAQ

Common questions about Gemma 2 27B vs Qwen3 VL 4B Instruct.

Which is better, Gemma 2 27B or Qwen3 VL 4B Instruct?

Qwen3 VL 4B Instruct significantly outperforms across most benchmarks. Gemma 2 27B is made by Google and Qwen3 VL 4B 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 2 27B compare to Qwen3 VL 4B Instruct in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. Qwen3 VL 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

What are the context window sizes for Gemma 2 27B and Qwen3 VL 4B Instruct?

Gemma 2 27B supports an unknown number of tokens and Qwen3 VL 4B 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 2 27B and Qwen3 VL 4B 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 2 27B and Qwen3 VL 4B Instruct?

Gemma 2 27B is developed by Google and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.