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Gemma 3n E2B Instructed vs Qwen3.8 Max

Qwen3.8 Max leads the LLM Stats Score 51.9 to -10.6.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8 Max leads the overall LLM Stats Score 51.9 to -10.6, ranking #11 overall.

In the 1 individual benchmarks reported for both models, Qwen3.8 Max wins 1; 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 3n E2B Instructed

  • 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 and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • 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.

Gemma 3n E2B Instructed
Google
Qwen3.8 Max
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
-10.6
#367
51.9
#11
Reasoning
-11.0
#359
50.6
#11
Coding
-4.4
#256
39.6
#14
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
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 Instructed
Qwen3.8 Max
Math
-8.0#324
33.8#52
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

1 shared

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while Qwen3.8 Max is better at 1 benchmark (GPQA).

Qwen3.8 Max significantly outperforms across most benchmarks.

Fri Sep 11 2026 • llm-stats.com

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 Instructed, making it 29900.0% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
8.0B
Gemma 3n E2B Instructed
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 Instructed
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input256,000 tokens
Output256,000 tokens
Fri Sep 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 3n E2B Instructed and Qwen3.8 Max 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

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed 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 Instructed

Proprietary

Closed source

Qwen3.8 Max

Qwen3.8-Max License

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed 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 Instructed.

Gemma 3n E2B Instructed

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 Instructed 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 Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3.8 Max's cutoff date.

Gemma 3n E2B Instructed

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 Instructed and Qwen3.8 Max side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Qwen3.8 Max leads the LLM Stats Score 51.9 to -10.6. Gemma 3n E2B Instructed 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 Instructed compare to Qwen3.8 Max 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%. Qwen3.8 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 Instructed and Qwen3.8 Max?

Gemma 3n E2B Instructed 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 Instructed and Qwen3.8 Max?

Key differences include LLM Stats Score (-10.6 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 Instructed and Qwen3.8 Max?

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

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