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Gemma 2 27B vs Llama 3.2 11B Instruct

Gemma 2 27B and Llama 3.2 11B Instruct are closely matched at -0.2 and -0.7 on the LLM Stats Score.

Google · Meta · Updated for 2026

Which is better?

Gemma 2 27B and Llama 3.2 11B Instruct are closely matched on the overall LLM Stats Score at -0.2 and -0.7.

The models split the 2 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 Llama 3.2 11B Instruct

  • you want the most recent training data — it shipped Sep 2024

At a glance

The differences that matter most.

Core performance indexes
-0.2
#308
-0.7
#312
-0.6
#305
-0.3
#303
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.05 / M
Output price
— / M
$0.05 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 2 27B
Llama 3.2 11B Instruct
-0.2#282
2.2#278
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 27B · 11 for Llama 3.2 11B Instruct

2 shared

Gemma 2 27B outperforms in 1 benchmarks (MMLU), while Llama 3.2 11B Instruct is better at 1 benchmark (MATH).

Both models are evenly matched across the benchmarks.

Sun Aug 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

16.6B diff

Gemma 2 27B has 16.6B more parameters than Llama 3.2 11B Instruct, making it 156.6% larger.

Google
Gemma 2 27B
27.2Bparameters
Meta
Llama 3.2 11B Instruct
10.6Bparameters
27.2B
Gemma 2 27B
10.6B
Llama 3.2 11B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 11B Instruct specifies input context (128,000 tokens). Only Llama 3.2 11B Instruct specifies output context (128,000 tokens).

Google
Gemma 2 27B
Input- tokens
Output- tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Sun Aug 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Llama 3.2 11B Instruct supports multimodal inputs, whereas Gemma 2 27B does not.

Llama 3.2 11B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 27B

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 27B is licensed under Gemma, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.

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

Gemma 2 27B

Gemma

Open weights

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Gemma 2 27B was released on 2024-06-27, while Llama 3.2 11B Instruct was released on 2024-09-25.

Llama 3.2 11B Instruct is 3 months newer than Gemma 2 27B.

Gemma 2 27B

Jun 27, 2024

2.2 years ago

Llama 3.2 11B Instruct

Sep 25, 2024

1.9 years ago

3mo newer

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Gemma 2 27B's cutoff date is not specified.

We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Gemma 2 27B's cutoff date.

Gemma 2 27B

Llama 3.2 11B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemma 2 27B and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
Llama 3.2 11B Instruct
Open in Playground

FAQ

Common questions about Gemma 2 27B vs Llama 3.2 11B Instruct.

Which is better, Gemma 2 27B or Llama 3.2 11B Instruct?

Gemma 2 27B and Llama 3.2 11B Instruct are closely matched on the LLM Stats Score at -0.2 and -0.7. Gemma 2 27B is made by Google and Llama 3.2 11B Instruct is made by Meta. 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 Llama 3.2 11B Instruct in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.

What are the context window sizes for Gemma 2 27B and Llama 3.2 11B Instruct?

Gemma 2 27B supports an unknown number of tokens and Llama 3.2 11B 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 Llama 3.2 11B Instruct?

Key differences include LLM Stats Score (-0.2 vs -0.7), multimodal support (no vs yes), licensing (Gemma vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 27B and Llama 3.2 11B Instruct?

Gemma 2 27B is developed by Google and Llama 3.2 11B Instruct is developed by Meta.