The AI arena is free today

Open Superagent

Gemma 3n E4B vs Llama 3.1 8B Instruct

Gemma 3n E4B and Llama 3.1 8B Instruct are closely matched at -6.6 and -3.1 on the LLM Stats Score.

Google · Meta · Updated for 2026

Which is better?

Gemma 3n E4B and Llama 3.1 8B Instruct are closely matched on the overall LLM Stats Score at -6.6 and -3.1.

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 3n E4B

  • you want the most recent training data — it shipped Jun 2025

Choose Llama 3.1 8B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemma 3n E4B
Google
Llama 3.1 8B Instruct
Meta
Core performance indexes
LLM Stats Score
-6.6
#387
-3.1
#365
Reasoning
-6.9
#379
-4.1
#363
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.02 / M
Output price
— / M
$0.03 / M
Context window
—
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 3n E4B
Llama 3.1 8B Instruct
Math
-2.8#325
-2.5#324
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Gemma 3n E4B · 18 for Llama 3.1 8B Instruct

2 shared

Gemma 3n E4B outperforms in 1 benchmarks (DROP), while Llama 3.1 8B Instruct is better at 1 benchmark (ARC-C).

Both models are evenly matched across the benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

0.0M diff

Llama 3.1 8B Instruct has 0.0B more parameters than Gemma 3n E4B, making it 0.0% larger.

Google
Gemma 3n E4B
8.0Bparameters
Meta
Llama 3.1 8B Instruct
8.0Bparameters
8.0B
Gemma 3n E4B
8.0B
Llama 3.1 8B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.1 8B Instruct specifies input context (131,072 tokens). Only Llama 3.1 8B Instruct specifies output context (131,072 tokens).

Google
Gemma 3n E4B
Input- tokens
Output- tokens
Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3n E4B supports multimodal inputs, whereas Llama 3.1 8B Instruct does not.

Gemma 3n E4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E4B

Text
Images
Audio
Video

Llama 3.1 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while Llama 3.1 8B Instruct uses Llama 3.1 Community License.

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

Gemma 3n E4B

Proprietary

Closed source

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while Llama 3.1 8B Instruct was released on 2024-07-23.

Gemma 3n E4B is 11 months newer than Llama 3.1 8B Instruct.

Gemma 3n E4B

Jun 26, 2025

1.3 years ago

11mo newer
Llama 3.1 8B Instruct

Jul 23, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a knowledge cutoff of 2024-06-01, while Llama 3.1 8B Instruct has a cutoff of 2023-12-31.

Gemma 3n E4B has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to Llama 3.1 8B Instruct (2023-12-31).

Gemma 3n E4B

Jun 2024

6 mo newer
Llama 3.1 8B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemma 3n E4B and Llama 3.1 8B Instruct side-by-side, then vote on the output you prefer.

Gemma 3n E4B
✓ Preferred
Llama 3.1 8B Instruct
Open in Playground

FAQ

Common questions about Gemma 3n E4B vs Llama 3.1 8B Instruct.

Which is better, Gemma 3n E4B or Llama 3.1 8B Instruct?

Gemma 3n E4B and Llama 3.1 8B Instruct are closely matched on the LLM Stats Score at -6.6 and -3.1. Gemma 3n E4B is made by Google and Llama 3.1 8B 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 3n E4B compare to Llama 3.1 8B Instruct in benchmarks?

Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. Llama 3.1 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%.

What are the context window sizes for Gemma 3n E4B and Llama 3.1 8B Instruct?

Gemma 3n E4B supports an unknown number of tokens and Llama 3.1 8B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3n E4B and Llama 3.1 8B Instruct?

Key differences include LLM Stats Score (-6.6 vs -3.1), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B and Llama 3.1 8B Instruct?

Gemma 3n E4B is developed by Google and Llama 3.1 8B Instruct is developed by Meta.

Related comparisons