Model Comparison

Gemma 3 12B vs Llama 4 Scout

Llama 4 Scout shows notably better performance in the majority of benchmarks. Gemma 3 12B is 2.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Gemma 3 12B outperforms in 2 benchmarks (MATH, MBPP), while Llama 4 Scout is better at 5 benchmarks (ChartQA, DocVQA, GPQA, LiveCodeBench, MMLU-Pro).

Llama 4 Scout shows notably better performance in the majority of benchmarks.

Wed May 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 12B costs less

For input processing, Gemma 3 12B ($0.05/1M tokens) is 1.6x cheaper than Llama 4 Scout ($0.08/1M tokens).

For output processing, Gemma 3 12B ($0.10/1M tokens) is 3.0x cheaper than Llama 4 Scout ($0.30/1M tokens).

In conclusion, Llama 4 Scout is more expensive than Gemma 3 12B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed May 27 2026 • llm-stats.com
Google
Gemma 3 12B
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
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Model Size

Parameter count comparison

97.0B diff

Llama 4 Scout has 97.0B more parameters than Gemma 3 12B, making it 808.3% larger.

Google
Gemma 3 12B
12.0Bparameters
Meta
Llama 4 Scout
109.0Bparameters
12.0B
Gemma 3 12B
109.0B
Llama 4 Scout

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to Gemma 3 12B's 131,072 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Gemma 3 12B is limited to 131,072 tokens.

Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Wed May 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3 12B and Llama 4 Scout support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3 12B

Text
Images
Audio
Video

Llama 4 Scout

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 12B 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 3 12B

Gemma

Open weights

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Gemma 3 12B was released on 2025-03-12, while Llama 4 Scout was released on 2025-04-05.

Llama 4 Scout is 1 month newer than Gemma 3 12B.

Gemma 3 12B

Mar 12, 2025

1.2 years ago

Llama 4 Scout

Apr 5, 2025

1.1 years ago

3w 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

Provider Availability

Gemma 3 12B is available from DeepInfra. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.

Gemma 3 12B

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M

Llama 4 Scout

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
lambda logo
Lambda
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.11/1MOutput Price:Output: $0.34/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.59/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Less expensive input tokens
Less expensive output tokens
Higher MATH score (83.8% vs 50.3%)
Higher MBPP score (73.0% vs 67.8%)
Meta
Larger context window (10,000,000 tokens)
Higher ChartQA score (88.8% vs 75.7%)
Higher DocVQA score (94.4% vs 87.1%)
Higher GPQA score (57.2% vs 40.9%)
Higher LiveCodeBench score (32.8% vs 24.6%)
Higher MMLU-Pro score (74.3% vs 60.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 12B
Meta
Llama 4 Scout

FAQ

Common questions about Gemma 3 12B vs Llama 4 Scout.

Which is better, Gemma 3 12B or Llama 4 Scout?

Llama 4 Scout shows notably better performance in the majority of benchmarks. Gemma 3 12B 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 3 12B compare to Llama 4 Scout in benchmarks?

Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.

Is Gemma 3 12B cheaper than Llama 4 Scout?

Gemma 3 12B is 1.6x cheaper for input tokens. Gemma 3 12B costs $0.05/M input and $0.10/M output via deepinfra. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra.

What are the context window sizes for Gemma 3 12B and Llama 4 Scout?

Gemma 3 12B supports 131K 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 3 12B and Llama 4 Scout?

Key differences include context window (131K vs 10.0M), input pricing ($0.05 vs $0.08/M), licensing (Gemma vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 12B and Llama 4 Scout?

Gemma 3 12B is developed by Google and Llama 4 Scout is developed by Meta.