Model Comparison

Gemma 3n E2B Instructed vs Qwen3 VL 8B ThinkingWhich is better in 2026?

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.

Verdict: Gemma 3n E2B Instructed vs Qwen3 VL 8B Thinking — which is better?

Gemma 3n E2B Instructed (by Google) and Qwen3 VL 8B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while Qwen3 VL 8B Thinking is better at 6 benchmarks (AIME 2025, GPQA, Include, MMLU, MMLU-Pro, MMLU-ProX). Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.

Choose Gemma 3n E2B Instructed if…

  • you are already invested in the Google ecosystem

Choose Qwen3 VL 8B Thinking if…

  • you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while Qwen3 VL 8B Thinking is better at 6 benchmarks (AIME 2025, GPQA, Include, MMLU, MMLU-Pro, MMLU-ProX).

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

1.0B diff

Qwen3 VL 8B Thinking has 1.0B more parameters than Gemma 3n E2B Instructed, making it 12.5% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
9.0Bparameters
8.0B
Gemma 3n E2B Instructed
9.0B
Qwen3 VL 8B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 8B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 8B Thinking specifies output context (262,144 tokens).

Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input262,144 tokens
Output262,144 tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B Instructed and Qwen3 VL 8B Thinking support multimodal inputs.

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

Gemma 3n E2B Instructed

Text
Images
Audio
Video

Qwen3 VL 8B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed is licensed under a proprietary license, while Qwen3 VL 8B Thinking uses Apache 2.0.

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

Gemma 3n E2B Instructed

Proprietary

Closed source

Qwen3 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while Qwen3 VL 8B Thinking was released on 2025-09-22.

Qwen3 VL 8B Thinking is 3 months newer than Gemma 3n E2B Instructed.

Gemma 3n E2B Instructed

Jun 26, 2025

1.1 years ago

Qwen3 VL 8B Thinking

Sep 22, 2025

10 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while Qwen3 VL 8B Thinking's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3 VL 8B Thinking's cutoff date.

Gemma 3n E2B Instructed

Jun 2024

Qwen3 VL 8B Thinking

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team

Qwen3 VL 8B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Has open weights
Higher AIME 2025 score (80.3% vs 6.7%)
Higher GPQA score (69.9% vs 24.8%)
Higher Include score (69.5% vs 38.6%)
Higher MMLU score (85.2% vs 60.1%)
Higher MMLU-Pro score (77.3% vs 40.5%)
Higher MMLU-ProX score (70.7% vs 8.1%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed and Qwen3 VL 8B Thinking side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed
✓ Preferred
Qwen3 VL 8B Thinking
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking

FAQ

Common questions about Gemma 3n E2B Instructed vs Qwen3 VL 8B Thinking.

Which is better, Gemma 3n E2B Instructed or Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks. Gemma 3n E2B Instructed is made by Google and Qwen3 VL 8B Thinking 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 3n E2B Instructed compare to Qwen3 VL 8B Thinking in benchmarks?

Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. Qwen3 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.

What are the context window sizes for Gemma 3n E2B Instructed and Qwen3 VL 8B Thinking?

Gemma 3n E2B Instructed supports an unknown number of tokens and Qwen3 VL 8B Thinking 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 Instructed and Qwen3 VL 8B Thinking?

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

Who makes Gemma 3n E2B Instructed and Qwen3 VL 8B Thinking?

Gemma 3n E2B Instructed is developed by Google and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.

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