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Gemma 3n E2B vs Qwen3.8 Max

Qwen3.8 Max leads the LLM Stats Score 51.9 to -10.2.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8 Max leads the overall LLM Stats Score 51.9 to -10.2, ranking #11 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 Qwen3.8 Max

  • overall performance matters — it scores 51.9 and ranks #11 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
-10.2
#365
51.9
#11
-10.4
#358
50.6
#11
Cost, coverage & limits
Benchmark wins
Input price
— / M
$1.65 / M
Output price
— / M
$4.95 / M
Context window
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 3n E2B
Qwen3.8 Max
-6.3#320
33.8#52
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Gemma 3n E2B · 42 for Qwen3.8 Max

No common benchmarks found

Gemma 3n E2B and Qwen3.8 Maxdon'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

2392.0B diff

Qwen3.8 Max has 2392.0B more parameters than Gemma 3n E2B, making it 29900.0% larger.

Google
Gemma 3n E2B
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
8.0B
Gemma 3n E2B
2400.0B
Qwen3.8 Max

Context Window

Maximum input and output token capacity

Only Qwen3.8 Max specifies input context (256,000 tokens). Only Qwen3.8 Max specifies output context (256,000 tokens).

Google
Gemma 3n E2B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input256,000 tokens
Output256,000 tokens
Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 3n E2B and Qwen3.8 Max support multimodal inputs.

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

Gemma 3n E2B

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Qwen3.8 Max uses Qwen3.8-Max License.

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

Gemma 3n E2B

Proprietary

Closed source

Qwen3.8 Max

Qwen3.8-Max License

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while Qwen3.8 Max was released on 2026-08-02.

Qwen3.8 Max is 13 months newer than Gemma 3n E2B.

Gemma 3n E2B

Jun 26, 2025

1.2 years ago

Qwen3.8 Max

Aug 2, 2026

1 months ago

1.1yr newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a documented knowledge cutoff of 2024-06-01, while Qwen3.8 Max'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 Qwen3.8 Max's cutoff date.

Gemma 3n E2B

Jun 2024

Qwen3.8 Max

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

Gemma 3n E2B
✓ Preferred
Qwen3.8 Max
Open in Playground

FAQ

Common questions about Gemma 3n E2B vs Qwen3.8 Max.

Which is better, Gemma 3n E2B or Qwen3.8 Max?

Qwen3.8 Max leads the LLM Stats Score 51.9 to -10.2. Gemma 3n E2B is made by Google and Qwen3.8 Max 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 Qwen3.8 Max in benchmarks?

Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Qwen3.8 Max scores PaperBench: 93.0%, MRCR v2 (8-needle): 92.9%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%.

What are the context window sizes for Gemma 3n E2B and Qwen3.8 Max?

Gemma 3n E2B supports an unknown number of tokens and Qwen3.8 Max supports 256K 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 Qwen3.8 Max?

Key differences include LLM Stats Score (-10.2 vs 51.9), licensing (Proprietary vs Qwen3.8-Max License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B and Qwen3.8 Max?

Gemma 3n E2B is developed by Google and Qwen3.8 Max is developed by Alibaba Cloud / Qwen Team.