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Gemma 2 27B vs Qwen2.5-Coder 32B Instruct

Gemma 2 27B and Qwen2.5-Coder 32B Instruct are closely matched at -0.7 and 2.0 on the LLM Stats Score.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemma 2 27B and Qwen2.5-Coder 32B Instruct are closely matched on the overall LLM Stats Score at -0.7 and 2.0.

The models split the 8 individual benchmarks reported for both models evenly.

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 Qwen2.5-Coder 32B Instruct

  • your work emphasizes coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2024

At a glance

The differences that matter most.

Core performance indexes
-0.7
#337
2.0
#324
-1.1
#333
2.0
#314
-7.9
#270
10.0
#173
Cost, coverage & limits
Benchmark wins
4 of 8
4 of 8
Input price
— / M
$0.09 / M
Output price
— / M
$0.09 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemma 2 27B
Qwen2.5-Coder 32B Instruct
-0.7#299
4.9#279
1.9#175
-0.4#188
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 27B · 15 for Qwen2.5-Coder 32B Instruct

8 shared

Gemma 2 27B outperforms in 4 benchmarks (ARC-C, HellaSwag, MMLU, Winogrande), while Qwen2.5-Coder 32B Instruct is better at 4 benchmarks (GSM8k, HumanEval, MATH, MBPP).

Both models are evenly matched across the benchmarks.

Tue Sep 29 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

4.8B diff

Qwen2.5-Coder 32B Instruct has 4.8B more parameters than Gemma 2 27B, making it 17.6% larger.

Google
Gemma 2 27B
27.2Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
27.2B
Gemma 2 27B
32.0B
Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).

Google
Gemma 2 27B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Sep 29 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 27B is licensed under Gemma, while Qwen2.5-Coder 32B Instruct 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

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 2 27B was released on 2024-06-27, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Qwen2.5-Coder 32B Instruct is 3 months newer than Gemma 2 27B.

Gemma 2 27B

Jun 27, 2024

2.3 years ago

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

2.0 years ago

2mo 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 27B and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
Qwen2.5-Coder 32B Instruct
Open in Playground

FAQ

Common questions about Gemma 2 27B vs Qwen2.5-Coder 32B Instruct.

Which is better, Gemma 2 27B or Qwen2.5-Coder 32B Instruct?

Gemma 2 27B and Qwen2.5-Coder 32B Instruct are closely matched on the LLM Stats Score at -0.7 and 2.0. Gemma 2 27B is made by Google and Qwen2.5-Coder 32B Instruct 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 Qwen2.5-Coder 32B Instruct in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

What are the context window sizes for Gemma 2 27B and Qwen2.5-Coder 32B Instruct?

Gemma 2 27B supports an unknown number of tokens and Qwen2.5-Coder 32B Instruct supports 128K 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 Qwen2.5-Coder 32B Instruct?

Key differences include LLM Stats Score (-0.7 vs 2.0), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 27B and Qwen2.5-Coder 32B Instruct?

Gemma 2 27B is developed by Google and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.