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Gemma 2 9B vs Qwen3.8 Flash

Qwen3.8 Flash leads the LLM Stats Score 49.6 to -4.8.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8 Flash leads the overall LLM Stats Score 49.6 to -4.8, ranking #16 overall.

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

Choose Gemma 2 9B

  • you need open weights you can self-host or fine-tune

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 want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Gemma 2 9B
Google
Qwen3.8 Flash
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
-4.8
#336
49.6
#16
Reasoning
-5.1
#329
49.2
#16
Coding
-11.0
#251
36.6
#20
Cost, coverage & limits
Benchmark wins
—
—
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 2 9B
Qwen3.8 Flash
Math
-3.3#303
32.6#55
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 9B · 22 for Qwen3.8 Flash

No common benchmarks found

Gemma 2 9B and Qwen3.8 Flashdon'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

115.8B diff

Qwen3.8 Flash has 115.8B more parameters than Gemma 2 9B, making it 1252.8% larger.

Google
Gemma 2 9B
9.2Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
125.0Bparameters
9.2B
Gemma 2 9B
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 2 9B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
Input1,000,000 tokens
Output131,072 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3.8 Flash supports multimodal inputs, whereas Gemma 2 9B does not.

Qwen3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 9B

Text
Images
Audio
Video

Qwen3.8 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Qwen3.8 Flash uses a proprietary license.

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

Gemma 2 9B

Gemma

Open weights

Qwen3.8 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Qwen3.8 Flash was released on 2026-08-26.

Qwen3.8 Flash is 26 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

2.2 years ago

Qwen3.8 Flash

Aug 26, 2026

5 days ago

2.2yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 2 9B and Qwen3.8 Flash side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
Qwen3.8 Flash
Open in Playground

FAQ

Common questions about Gemma 2 9B vs Qwen3.8 Flash.

Which is better, Gemma 2 9B or Qwen3.8 Flash?

Qwen3.8 Flash leads the LLM Stats Score 49.6 to -4.8. Gemma 2 9B 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 2 9B compare to Qwen3.8 Flash in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. 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 2 9B and Qwen3.8 Flash?

Gemma 2 9B 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 2 9B and Qwen3.8 Flash?

Key differences include LLM Stats Score (-4.8 vs 49.6), multimodal support (no vs yes), licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and Qwen3.8 Flash?

Gemma 2 9B is developed by Google and Qwen3.8 Flash is developed by Alibaba Cloud / Qwen Team.

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