Model Comparison

Gemma 3n E4B Instructed vs Qwen3 VL 4B Thinking

Qwen3 VL 4B Thinking significantly outperforms across most benchmarks. Qwen3 VL 4B Thinking is 76.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Qwen3 VL 4B Thinking is better at 6 benchmarks (AIME 2025, GPQA, Include, MMLU, MMLU-Pro, MMLU-ProX).

Qwen3 VL 4B Thinking significantly outperforms across most benchmarks.

Mon May 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 4B Thinking costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 200.0x more expensive than Qwen3 VL 4B Thinking ($0.10/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 40.0x more expensive than Qwen3 VL 4B Thinking ($1.00/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Qwen3 VL 4B Thinking.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Mon May 11 2026 • llm-stats.com

Gemma 3n E4B Instructed

Input tokens$20.00

Output tokens$40.00

Best providerTogether

Qwen3 VL 4B Thinking

Input tokens$0.10

Output tokens$1.00

Best providerDeepinfra

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Model Size

Parameter count comparison

4.0B diff

Gemma 3n E4B Instructed has 4.0B more parameters than Qwen3 VL 4B Thinking, making it 100.0% larger.

Gemma 3n E4B Instructed

8.0Bparameters

Qwen3 VL 4B Thinking

4.0Bparameters

8.0B

Gemma 3n E4B Instructed

4.0B

Qwen3 VL 4B Thinking

Context Window

Maximum input and output token capacity

Qwen3 VL 4B Thinking accepts 262,144 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Qwen3 VL 4B Thinking can generate longer responses up to 262,144 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Gemma 3n E4B Instructed

Input32,000 tokens

Output32,000 tokens

Qwen3 VL 4B Thinking

Input262,144 tokens

Output262,144 tokens

Mon May 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B Instructed and Qwen3 VL 4B Thinking support multimodal inputs.

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

Gemma 3n E4B Instructed

Text

Images

Audio

Video

Qwen3 VL 4B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, while Qwen3 VL 4B Thinking uses Apache 2.0.

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

Gemma 3n E4B Instructed

Proprietary

Closed source

Qwen3 VL 4B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while Qwen3 VL 4B Thinking was released on 2025-09-22.

Qwen3 VL 4B Thinking is 3 months newer than Gemma 3n E4B Instructed.

Gemma 3n E4B Instructed

Jun 26, 2025

10 months ago

Qwen3 VL 4B Thinking

Sep 22, 2025

7 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Qwen3 VL 4B Thinking's cutoff date is not specified.

We can confirm Gemma 3n E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3 VL 4B Thinking's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

Qwen3 VL 4B Thinking

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Provider Availability

Gemma 3n E4B Instructed is available from Together. Qwen3 VL 4B Thinking is available from DeepInfra.

Gemma 3n E4B Instructed

Together

Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M

Qwen3 VL 4B Thinking

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $1.00/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Gemma 3n E4B Instructed

View details

Google

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

Qwen3 VL 4B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher AIME 2025 score (74.5% vs 11.6%)

Higher GPQA score (64.1% vs 23.7%)

Higher Include score (64.6% vs 57.2%)

Higher MMLU score (81.5% vs 64.9%)

Higher MMLU-Pro score (73.6% vs 50.6%)

Higher MMLU-ProX score (65.0% vs 19.9%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 3n E4B Instructed	Qwen3 VL 4B Thinking

FAQ

Common questions about Gemma 3n E4B Instructed vs Qwen3 VL 4B Thinking.

Which is better, Gemma 3n E4B Instructed or Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking significantly outperforms across most benchmarks. Gemma 3n E4B Instructed is made by Google and Qwen3 VL 4B 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 E4B Instructed compare to Qwen3 VL 4B Thinking in benchmarks?

Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. Qwen3 VL 4B Thinking scores DocVQAtest: 94.2%, ScreenSpot: 92.9%, MMBench-V1.1: 86.7%, MMLU-Redux: 86.0%, AI2D: 84.9%.

Is Gemma 3n E4B Instructed cheaper than Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking is 200.0x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. Qwen3 VL 4B Thinking costs $0.10/M input and $1.00/M output via deepinfra.

What are the context window sizes for Gemma 3n E4B Instructed and Qwen3 VL 4B Thinking?

Gemma 3n E4B Instructed supports 32K tokens and Qwen3 VL 4B 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 E4B Instructed and Qwen3 VL 4B Thinking?

Key differences include context window (32K vs 262K), input pricing ($20.00 vs $0.10/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B Instructed and Qwen3 VL 4B Thinking?

Gemma 3n E4B Instructed is developed by Google and Qwen3 VL 4B Thinking is developed by Alibaba Cloud / Qwen Team.