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Gemma 3n E4B Instructed vs Qwen3.8 Max

Qwen3.8 Max leads the LLM Stats Score 51.9 to -4.7. Qwen3.8 Max is 10.1x cheaper per token.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8 Max leads the overall LLM Stats Score 51.9 to -4.7, 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.

On price, Qwen3.8 Max is roughly 10.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3.8 Max also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Gemma 3n E4B Instructed

  • you want predictable pricing at $20.00/M input and $40.00/M output

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
  • cost matters — it's about 10.1x cheaper per token
  • you process long inputs — it offers a 256,000 token context window
  • 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 E4B Instructed
Google
Qwen3.8 Max
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
-4.7
#349
51.9
#11
Reasoning
-5.5
#348
50.6
#11
Coding
-0.1
#241
39.6
#14
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$20.00 / M
$1.65 / M
Output price
$40.00 / M
$4.95 / M
Context window
32,000
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 3n E4B Instructed
Qwen3.8 Max
Math
-1.8#306
33.8#52
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Gemma 3n E4B Instructed · 42 for Qwen3.8 Max

1 shared

Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Qwen3.8 Max is better at 1 benchmark (GPQA).

Qwen3.8 Max significantly outperforms across most benchmarks.

Sun Sep 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3.8 Max costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 12.1x more expensive than Qwen3.8 Max ($1.65/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 8.1x more expensive than Qwen3.8 Max ($4.95/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Qwen3.8 Max.*

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

Lowest available price from all providers
Sun Sep 13 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input tokens$1.65
Output tokens$4.95
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

2392.0B diff

Qwen3.8 Max has 2392.0B more parameters than Gemma 3n E4B Instructed, making it 29900.0% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
8.0B
Gemma 3n E4B Instructed
2400.0B
Qwen3.8 Max

Context Window

Maximum input and output token capacity

Qwen3.8 Max accepts 256,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Qwen3.8 Max can generate longer responses up to 256,000 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 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 E4B Instructed and Qwen3.8 Max 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

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B 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 E4B Instructed

Proprietary

Closed source

Qwen3.8 Max

Qwen3.8-Max License

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B 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 E4B Instructed.

Gemma 3n E4B 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 E4B 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 E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3.8 Max's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

Qwen3.8 Max

—

Provider Availability

Gemma 3n E4B Instructed is available from Together. Qwen3.8 Max is available from DeepInfra, Fireworks, Novita, Together.

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M

Qwen3.8 Max

deepinfra logo
Deepinfra
Input Price:Input: $1.65/1MOutput Price:Output: $4.95/1M
fireworks logo
Fireworks
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
novita logo
Novita
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
together logo
Together
Input Price:Input: $2.50/1MOutput Price:Output: $6.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 3n E4B Instructed and Qwen3.8 Max side-by-side, then vote on the output you prefer.

Gemma 3n E4B Instructed
✓ Preferred
Qwen3.8 Max
Open in Playground

FAQ

Common questions about Gemma 3n E4B Instructed vs Qwen3.8 Max.

Which is better, Gemma 3n E4B Instructed or Qwen3.8 Max?

Qwen3.8 Max leads the LLM Stats Score 51.9 to -4.7. Gemma 3n E4B 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 E4B Instructed compare to Qwen3.8 Max in benchmarks?

Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. Qwen3.8 Max scores PaperBench: 93.0%, MRCR v2 (8-needle): 92.9%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%.

Is Gemma 3n E4B Instructed cheaper than Qwen3.8 Max?

Qwen3.8 Max is 12.1x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. Qwen3.8 Max costs $1.65/M input and $4.95/M output via deepinfra.

What are the context window sizes for Gemma 3n E4B Instructed and Qwen3.8 Max?

Gemma 3n E4B Instructed supports 32K 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 E4B Instructed and Qwen3.8 Max?

Key differences include LLM Stats Score (-4.7 vs 51.9), context window (32K vs 256K), input pricing ($20.00 vs $1.65/M), licensing (Proprietary vs Qwen3.8-Max License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B Instructed and Qwen3.8 Max?

Gemma 3n E4B Instructed is developed by Google and Qwen3.8 Max is developed by Alibaba Cloud / Qwen Team.

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