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Gemma 3n E2B Instructed vs Qwen3.8 Flash

Qwen3.8 Flash leads the LLM Stats Score 49.6 to -10.3.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8 Flash leads the overall LLM Stats Score 49.6 to -10.3, ranking #16 overall.

In the 1 individual benchmarks reported for both models, Qwen3.8 Flash 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 Flash

  • overall performance matters — it scores 49.6 and ranks #16 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

At a glance

The differences that matter most.

Gemma 3n E2B Instructed
Google
Qwen3.8 Flash
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
-10.3
#351
49.6
#16
Reasoning
-10.8
#343
49.2
#16
Coding
-4.3
#243
36.6
#20
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.15 / M
Output price
— / M
$0.47 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 3n E2B Instructed
Qwen3.8 Flash
Math
-7.6#313
32.6#55
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Gemma 3n E2B Instructed · 22 for Qwen3.8 Flash

1 shared

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

Qwen3.8 Flash significantly outperforms across most benchmarks.

Tue Sep 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

117.0B diff

Qwen3.8 Flash has 117.0B more parameters than Gemma 3n E2B Instructed, making it 1462.5% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
125.0Bparameters
8.0B
Gemma 3n E2B Instructed
125.0B
Qwen3.8 Flash

Context Window

Maximum input and output token capacity

Only Qwen3.8 Flash specifies input context (1,000,000 tokens). Only Qwen3.8 Flash specifies output context (131,072 tokens).

Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
Input1,000,000 tokens
Output131,072 tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 3n E2B Instructed and Qwen3.8 Flash 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 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemma 3n E2B Instructed

Proprietary

Closed source

Qwen3.8 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

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

Qwen3.8 Flash is 14 months newer than Gemma 3n E2B Instructed.

Gemma 3n E2B Instructed

Jun 26, 2025

1.2 years ago

Qwen3.8 Flash

Aug 26, 2026

6 days ago

1.2yr newer

Knowledge Cutoff

When training data ends

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

Gemma 3n E2B Instructed

Jun 2024

Qwen3.8 Flash

—

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 Flash side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Qwen3.8 Flash leads the LLM Stats Score 49.6 to -10.3. Gemma 3n E2B Instructed is made by Google and Qwen3.8 Flash 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 Flash 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 Flash scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

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

Gemma 3n E2B Instructed supports an unknown number of tokens and Qwen3.8 Flash supports 1.0M 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 Flash?

Key differences include LLM Stats Score (-10.3 vs 49.6). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B Instructed and Qwen3.8 Flash?

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

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