The AI arena is free today

Open Superagent

Gemma 3n E2B vs Qwen3 VL 4B Instruct

Qwen3 VL 4B Instruct leads the LLM Stats Score 10.8 to -10.1.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 VL 4B Instruct leads the overall LLM Stats Score 10.8 to -10.1, ranking #251 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 3n E2B

  • you are already invested in the Google ecosystem

Choose Qwen3 VL 4B Instruct

  • overall performance matters — it scores 10.8 and ranks #251 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemma 3n E2B
Google
Qwen3 VL 4B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
-10.1
#354
10.8
#251
Reasoning
-10.3
#346
8.4
#262
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.60 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 3n E2B
Qwen3 VL 4B Instruct
Math
-6.0#311
8.2#253
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Gemma 3n E2B · 45 for Qwen3 VL 4B Instruct

No common benchmarks found

Gemma 3n E2B and Qwen3 VL 4B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

4.0B diff

Gemma 3n E2B has 4.0B more parameters than Qwen3 VL 4B Instruct, making it 100.0% larger.

Google
Gemma 3n E2B
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
4.0Bparameters
8.0B
Gemma 3n E2B
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 3n E2B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input262,144 tokens
Output262,144 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 3n E2B and Qwen3 VL 4B Instruct support multimodal inputs.

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

Gemma 3n E2B

Text
Images
Audio
Video

Qwen3 VL 4B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, 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 3n E2B

Proprietary

Closed source

Qwen3 VL 4B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 3 months newer than Gemma 3n E2B.

Gemma 3n E2B

Jun 26, 2025

1.2 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

11 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a documented knowledge cutoff of 2024-06-01, while Qwen3 VL 4B Instruct's cutoff date is not specified.

We can confirm Gemma 3n E2B's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3 VL 4B Instruct's cutoff date.

Gemma 3n E2B

Jun 2024

Qwen3 VL 4B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 3n E2B and Qwen3 VL 4B Instruct side-by-side, then vote on the output you prefer.

Gemma 3n E2B
✓ Preferred
Qwen3 VL 4B Instruct
Open in Playground

FAQ

Common questions about Gemma 3n E2B vs Qwen3 VL 4B Instruct.

Which is better, Gemma 3n E2B or Qwen3 VL 4B Instruct?

Qwen3 VL 4B Instruct leads the LLM Stats Score 10.8 to -10.1. Gemma 3n E2B 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 capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 3n E2B compare to Qwen3 VL 4B Instruct in benchmarks?

Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. 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 3n E2B and Qwen3 VL 4B Instruct?

Gemma 3n E2B 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 3n E2B and Qwen3 VL 4B Instruct?

Key differences include LLM Stats Score (-10.1 vs 10.8), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B and Qwen3 VL 4B Instruct?

Gemma 3n E2B is developed by Google and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.

Related comparisons