Model Comparison

Gemma 2 27B vs Llama 4 ScoutWhich is better in 2026?

Llama 4 Scout significantly outperforms across most benchmarks.

Verdict: Gemma 2 27B vs Llama 4 Scout — which is better?

Gemma 2 27B (by Google) and Llama 4 Scout (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemma 2 27B outperforms in 0 benchmarks, while Llama 4 Scout is better at 3 benchmarks (MATH, MBPP, MMLU). Llama 4 Scout significantly outperforms across most benchmarks.

Choose Gemma 2 27B if…

  • you are already invested in the Google ecosystem

Choose Llama 4 Scout if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Apr 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 2 27B outperforms in 0 benchmarks, while Llama 4 Scout is better at 3 benchmarks (MATH, MBPP, MMLU).

Llama 4 Scout significantly outperforms across most benchmarks.

Wed Jul 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

81.8B diff

Llama 4 Scout has 81.8B more parameters than Gemma 2 27B, making it 300.7% larger.

Google
Gemma 2 27B
27.2Bparameters
Meta
Llama 4 Scout
109.0Bparameters
27.2B
Gemma 2 27B
109.0B
Llama 4 Scout

Context Window

Maximum input and output token capacity

Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).

Google
Gemma 2 27B
Input- tokens
Output- tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Wed Jul 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Scout supports multimodal inputs, whereas Gemma 2 27B does not.

Llama 4 Scout 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 4 Scout

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 27B is licensed under Gemma, while Llama 4 Scout uses Llama 4 Community License Agreement.

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

Gemma 2 27B

Gemma

Open weights

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Gemma 2 27B was released on 2024-06-27, while Llama 4 Scout was released on 2025-04-05.

Llama 4 Scout is 9 months newer than Gemma 2 27B.

Gemma 2 27B

Jun 27, 2024

2.0 years ago

Llama 4 Scout

Apr 5, 2025

1.3 years ago

9mo 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→

Key Takeaways

Google

No standout differentiators in the data we have for this pair.

Meta
Larger context window (10,000,000 tokens)
Supports multimodal inputs
Higher MATH score (50.3% vs 42.3%)
Higher MBPP score (67.8% vs 62.6%)
Higher MMLU score (79.6% vs 75.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 2 27B and Llama 4 Scout side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
Llama 4 Scout
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 2 27B
Meta
Llama 4 Scout

FAQ

Common questions about Gemma 2 27B vs Llama 4 Scout.

Which is better, Gemma 2 27B or Llama 4 Scout?

Llama 4 Scout significantly outperforms across most benchmarks. Gemma 2 27B is made by Google and Llama 4 Scout is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 2 27B compare to Llama 4 Scout in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.

What are the context window sizes for Gemma 2 27B and Llama 4 Scout?

Gemma 2 27B supports an unknown number of tokens and Llama 4 Scout supports 10.0M 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 4 Scout?

Key differences include multimodal support (no vs yes), licensing (Gemma vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 27B and Llama 4 Scout?

Gemma 2 27B is developed by Google and Llama 4 Scout is developed by Meta.

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