Model Comparison

Gemma 3n E2B Instructed vs Llama 3.3 70B Instruct

Llama 3.3 70B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while Llama 3.3 70B Instruct is better at 5 benchmarks (GPQA, HumanEval, MGSM, MMLU, MMLU-Pro).

Llama 3.3 70B Instruct significantly outperforms across most benchmarks.

Wed Apr 22 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
Wed Apr 22 2026 • llm-stats.com
Google
Gemma 3n E2B Instructed
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meta
Llama 3.3 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

62.0B diff

Llama 3.3 70B Instruct has 62.0B more parameters than Gemma 3n E2B Instructed, making it 775.0% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
8.0B
Gemma 3n E2B Instructed
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.3 70B Instruct specifies input context (128,000 tokens). Only Llama 3.3 70B Instruct specifies output context (128,000 tokens).

Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

Gemma 3n E2B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E2B Instructed

Text
Images
Audio
Video

Llama 3.3 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed is licensed under a proprietary license, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.

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

Gemma 3n E2B Instructed

Proprietary

Closed source

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while Llama 3.3 70B Instruct was released on 2024-12-06.

Gemma 3n E2B Instructed is 7 months newer than Llama 3.3 70B Instruct.

Gemma 3n E2B Instructed

Jun 26, 2025

10 months ago

6mo newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while Llama 3.3 70B Instruct's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Llama 3.3 70B Instruct's cutoff date.

Gemma 3n E2B Instructed

Jun 2024

Llama 3.3 70B Instruct

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Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Meta
Larger context window (128,000 tokens)
Has open weights
Higher GPQA score (50.5% vs 24.8%)
Higher HumanEval score (88.4% vs 66.5%)
Higher MGSM score (91.1% vs 53.1%)
Higher MMLU score (86.0% vs 60.1%)
Higher MMLU-Pro score (68.9% vs 40.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed
Meta
Llama 3.3 70B Instruct

FAQ

Common questions about Gemma 3n E2B Instructed vs Llama 3.3 70B Instruct

Llama 3.3 70B Instruct significantly outperforms across most benchmarks. Gemma 3n E2B Instructed is made by Google and Llama 3.3 70B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.
Gemma 3n E2B Instructed supports an unknown number of tokens and Llama 3.3 70B 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 (yes vs no), licensing (Proprietary vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E2B Instructed is developed by Google and Llama 3.3 70B Instruct is developed by Meta.