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Gemma 2 27B vs QwQ-32B-Preview

QwQ-32B-Preview leads the LLM Stats Score 9.2 to -0.6.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

QwQ-32B-Preview leads the overall LLM Stats Score 9.2 to -0.6, ranking #259 overall.

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

Choose Gemma 2 27B

  • you are already invested in the Google ecosystem

Choose QwQ-32B-Preview

  • overall performance matters — it scores 9.2 and ranks #259 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2024

At a glance

The differences that matter most.

Gemma 2 27B
Google
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
-0.6
#318
9.2
#259
Reasoning
-1.0
#314
9.5
#251
Coding
-7.9
#254
4.6
#200
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.15 / M
Output price
— / M
$0.20 / M
Context window
—
32,768

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 2 27B
QwQ-32B-Preview
Math
-0.3#289
9.2#247
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 27B · 4 for QwQ-32B-Preview

No common benchmarks found

Gemma 2 27B and QwQ-32B-Previewdon'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

5.3B diff

QwQ-32B-Preview has 5.3B more parameters than Gemma 2 27B, making it 19.5% larger.

Google
Gemma 2 27B
27.2Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
27.2B
Gemma 2 27B
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Only QwQ-32B-Preview specifies input context (32,768 tokens). Only QwQ-32B-Preview specifies output context (32,768 tokens).

Google
Gemma 2 27B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 27B is licensed under Gemma, while QwQ-32B-Preview uses Apache 2.0.

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

Gemma 2 27B

Gemma

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 2 27B was released on 2024-06-27, while QwQ-32B-Preview was released on 2024-11-28.

QwQ-32B-Preview is 5 months newer than Gemma 2 27B.

Gemma 2 27B

Jun 27, 2024

2.2 years ago

QwQ-32B-Preview

Nov 28, 2024

1.8 years ago

5mo newer

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Gemma 2 27B's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without Gemma 2 27B's cutoff date.

Gemma 2 27B

—

QwQ-32B-Preview

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 2 27B and QwQ-32B-Preview side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
QwQ-32B-Preview
Open in Playground

FAQ

Common questions about Gemma 2 27B vs QwQ-32B-Preview.

Which is better, Gemma 2 27B or QwQ-32B-Preview?

QwQ-32B-Preview leads the LLM Stats Score 9.2 to -0.6. Gemma 2 27B is made by Google and QwQ-32B-Preview 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 27B compare to QwQ-32B-Preview in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

What are the context window sizes for Gemma 2 27B and QwQ-32B-Preview?

Gemma 2 27B supports an unknown number of tokens and QwQ-32B-Preview supports 33K 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 27B and QwQ-32B-Preview?

Key differences include LLM Stats Score (-0.6 vs 9.2), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 27B and QwQ-32B-Preview?

Gemma 2 27B is developed by Google and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.

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