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Gemma 4 E4B vs Qwen2.5 VL 72B Instruct

Gemma 4 E4B and Qwen2.5 VL 72B Instruct are closely matched at 13.8 and 12.7 on the LLM Stats Score.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemma 4 E4B and Qwen2.5 VL 72B Instruct are closely matched on the overall LLM Stats Score at 13.8 and 12.7.

In the 2 individual benchmarks reported for both models, Gemma 4 E4B wins 2; this is a narrower head-to-head signal than the composite indexes.

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

Choose Gemma 4 E4B

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Apr 2026

Choose Qwen2.5 VL 72B Instruct

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Gemma 4 E4B
Google
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
13.8
#250
12.7
#258
Reasoning
13.6
#242
12.8
#249
Agents
1.8
#174
4.5
#160
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.02 / M
— / M
Output price
$0.10 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemma 4 E4B
Qwen2.5 VL 72B Instruct
Math
11.9#238
7.6#265
Vision
3.8#167
9.2#137
Multimodal
6.2#140
12.1#113
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Gemma 4 E4B · 30 for Qwen2.5 VL 72B Instruct

2 shared

Gemma 4 E4B outperforms in 2 benchmarks (MathVision, MMMU-Pro), while Qwen2.5 VL 72B Instruct is better at 0 benchmarks.

Gemma 4 E4B significantly outperforms across most benchmarks.

Fri Oct 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

64.0B diff

Qwen2.5 VL 72B Instruct has 64.0B more parameters than Gemma 4 E4B, making it 800.0% larger.

Google
Gemma 4 E4B
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
72.0Bparameters
8.0B
Gemma 4 E4B
72.0B
Qwen2.5 VL 72B Instruct

Context Window

Maximum input and output token capacity

Only Gemma 4 E4B specifies input context (131,072 tokens). Only Gemma 4 E4B specifies output context (131,072 tokens).

Google
Gemma 4 E4B
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
Input- tokens
Output- tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 4 E4B and Qwen2.5 VL 72B Instruct support multimodal inputs.

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

Gemma 4 E4B

Text
Images
Audio
Video

Qwen2.5 VL 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 E4B is licensed under Apache 2.0, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.

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

Gemma 4 E4B

Apache 2.0

Open weights

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Gemma 4 E4B was released on 2026-04-02, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.

Gemma 4 E4B is 14 months newer than Qwen2.5 VL 72B Instruct.

Gemma 4 E4B

Apr 2, 2026

6 months ago

1.2yr newer
Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.7 years ago

Knowledge Cutoff

When training data ends

Gemma 4 E4B has a documented knowledge cutoff of 2025-01-01, while Qwen2.5 VL 72B Instruct's cutoff date is not specified.

We can confirm Gemma 4 E4B's training data extends to 2025-01-01, but cannot make a direct comparison without Qwen2.5 VL 72B Instruct's cutoff date.

Gemma 4 E4B

Jan 2025

Qwen2.5 VL 72B Instruct

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemma 4 E4B and Qwen2.5 VL 72B Instruct side-by-side, then vote on the output you prefer.

Gemma 4 E4B
✓ Preferred
Qwen2.5 VL 72B Instruct
Open in Playground

FAQ

Common questions about Gemma 4 E4B vs Qwen2.5 VL 72B Instruct.

Which is better, Gemma 4 E4B or Qwen2.5 VL 72B Instruct?

Gemma 4 E4B and Qwen2.5 VL 72B Instruct are closely matched on the LLM Stats Score at 13.8 and 12.7. Gemma 4 E4B is made by Google and Qwen2.5 VL 72B 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 4 E4B compare to Qwen2.5 VL 72B Instruct in benchmarks?

Gemma 4 E4B scores MMMLU: 76.6%, MMLU-Pro: 69.4%, MathVision: 59.5%, GPQA: 58.6%, t2-bench: 57.5%. Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%.

What are the context window sizes for Gemma 4 E4B and Qwen2.5 VL 72B Instruct?

Gemma 4 E4B supports 131K tokens and Qwen2.5 VL 72B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 4 E4B and Qwen2.5 VL 72B Instruct?

Key differences include LLM Stats Score (13.8 vs 12.7), licensing (Apache 2.0 vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 E4B and Qwen2.5 VL 72B Instruct?

Gemma 4 E4B is developed by Google and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.

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