Model Comparison

Gemma 2 27B vs Llama 3.2 11B Instruct

Both models are evenly matched across the benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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.

Thu Apr 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 02 2026 • llm-stats.com
Google
Gemma 2 27B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

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
Thu Apr 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

1.8 years ago

Llama 3.2 11B Instruct

Sep 25, 2024

1.5 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→

Key Takeaways

Google
Higher MMLU score (75.2% vs 73.0%)
Meta
Larger context window (128,000 tokens)
Supports multimodal inputs
Higher MATH score (51.9% vs 42.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 27B
Meta
Llama 3.2 11B Instruct

FAQ

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

Both models are evenly matched across the benchmarks. 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 benchmark scores, pricing, and capabilities above.
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%.
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.
Key differences include multimodal support (no vs yes), licensing (Gemma vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.
Gemma 2 27B is developed by Google and Llama 3.2 11B Instruct is developed by Meta.