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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 -0.5 and 2.3 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 -0.5 and 2.3.

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
-0.5
#313
2.3
#300
-0.9
#310
2.3
#291
-7.9
#249
10.1
#153
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
-0.3#287
5.4#263
2.5#162
0.0#173
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 01 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 01 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

2.2 years ago

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.9 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 -0.5 and 2.3. 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 (-0.5 vs 2.3), 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.