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Gemma 3n E4B Instructed LiteRT Preview vs Llama 3.1 8B Instruct

Gemma 3n E4B Instructed LiteRT Preview and Llama 3.1 8B Instruct are closely matched at -5.2 and -2.6 on the LLM Stats Score.

Google · Meta · Updated for 2026

Which is better?

Gemma 3n E4B Instructed LiteRT Preview and Llama 3.1 8B Instruct are closely matched on the overall LLM Stats Score at -5.2 and -2.6.

The models split the 6 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 Instructed LiteRT Preview

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

Choose Llama 3.1 8B Instruct

  • you want predictable pricing at $0.02/M input and $0.03/M output

At a glance

The differences that matter most.

Core performance indexes
-5.2
#372
-2.6
#355
-5.9
#367
-3.6
#353
-0.1
#256
-2.3
#264
Cost, coverage & limits
Benchmark wins
3 of 6
3 of 6
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

3 shared
Index
Gemma 3n E4B Instructed LiteRT Preview
Llama 3.1 8B Instruct
-1.3#308
-2.5#317
-4.3#214
-3.0#209
-4.3#201
-3.0#196
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

28 reported for Gemma 3n E4B Instructed LiteRT Preview · 18 for Llama 3.1 8B Instruct

6 shared

Gemma 3n E4B Instructed LiteRT Preview outperforms in 3 benchmarks (DROP, HumanEval, MMLU-Pro), while Llama 3.1 8B Instruct is better at 3 benchmarks (ARC-C, GPQA, MMLU).

Both models are evenly matched across the benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

6.1B diff

Llama 3.1 8B Instruct has 6.1B more parameters than Gemma 3n E4B Instructed LiteRT Preview, making it 318.8% larger.

Google
Gemma 3n E4B Instructed LiteRT Preview
1.9Bparameters
Meta
Llama 3.1 8B Instruct
8.0Bparameters
1.9B
Gemma 3n E4B Instructed LiteRT Preview
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 Instructed LiteRT Preview
Input- tokens
Output- tokens
Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

Gemma 3n E4B Instructed LiteRT Preview

Text
Images
Audio
Video

Llama 3.1 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed LiteRT Preview is licensed under Gemma, 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 Instructed LiteRT Preview

Gemma

Open weights

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed LiteRT Preview was released on 2025-05-20, while Llama 3.1 8B Instruct was released on 2024-07-23.

Gemma 3n E4B Instructed LiteRT Preview is 10 months newer than Llama 3.1 8B Instruct.

Gemma 3n E4B Instructed LiteRT Preview

May 20, 2025

1.4 years ago

10mo newer
Llama 3.1 8B Instruct

Jul 23, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

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

Gemma 3n E4B Instructed LiteRT Preview 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 Instructed LiteRT Preview

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 Instructed LiteRT Preview and Llama 3.1 8B Instruct side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Gemma 3n E4B Instructed LiteRT Preview and Llama 3.1 8B Instruct are closely matched on the LLM Stats Score at -5.2 and -2.6. Gemma 3n E4B Instructed LiteRT Preview 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 Instructed LiteRT Preview compare to Llama 3.1 8B Instruct in benchmarks?

Gemma 3n E4B Instructed LiteRT Preview scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, HumanEval: 75.0%. 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 Instructed LiteRT Preview and Llama 3.1 8B Instruct?

Gemma 3n E4B Instructed LiteRT Preview 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 Instructed LiteRT Preview and Llama 3.1 8B Instruct?

Key differences include LLM Stats Score (-5.2 vs -2.6), multimodal support (yes vs no), licensing (Gemma vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

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

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