Model Comparison

Gemma 3n E2B vs Hermes 3 70B

Hermes 3 70B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemma 3n E2B outperforms in 0 benchmarks, while Hermes 3 70B is better at 6 benchmarks (ARC-C, ARC-E, BoolQ, HellaSwag, PIQA, Winogrande).

Hermes 3 70B significantly outperforms across most benchmarks.

Thu Apr 16 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
Thu Apr 16 2026 • llm-stats.com
Google
Gemma 3n E2B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Nous Research
Hermes 3 70B
Input tokens$0.35
Output tokens$1.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

62.0B diff

Hermes 3 70B has 62.0B more parameters than Gemma 3n E2B, making it 775.0% larger.

Google
Gemma 3n E2B
8.0Bparameters
Nous Research
Hermes 3 70B
70.0Bparameters
8.0B
Gemma 3n E2B
70.0B
Hermes 3 70B

Context Window

Maximum input and output token capacity

Only Hermes 3 70B specifies input context (131,072 tokens). Only Hermes 3 70B specifies output context (16,384 tokens).

Google
Gemma 3n E2B
Input- tokens
Output- tokens
Nous Research
Hermes 3 70B
Input131,072 tokens
Output16,384 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B supports multimodal inputs, whereas Hermes 3 70B does not.

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

Gemma 3n E2B

Text
Images
Audio
Video

Hermes 3 70B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Hermes 3 70B uses Apache 2.0.

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

Gemma 3n E2B

Proprietary

Closed source

Hermes 3 70B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while Hermes 3 70B was released on 2024-08-15.

Gemma 3n E2B is 11 months newer than Hermes 3 70B.

Gemma 3n E2B

Jun 26, 2025

9 months ago

10mo newer
Hermes 3 70B

Aug 15, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

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

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

Gemma 3n E2B

Jun 2024

Hermes 3 70B

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Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Nous Research
Larger context window (131,072 tokens)
Has open weights
Higher ARC-C score (65.5% vs 51.7%)
Higher ARC-E score (83.0% vs 75.8%)
Higher BoolQ score (88.0% vs 76.4%)
Higher HellaSwag score (88.2% vs 72.2%)
Higher PIQA score (84.4% vs 78.9%)
Higher Winogrande score (83.2% vs 66.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B
Nous Research
Hermes 3 70B

FAQ

Common questions about Gemma 3n E2B vs Hermes 3 70B

Hermes 3 70B significantly outperforms across most benchmarks. Gemma 3n E2B is made by Google and Hermes 3 70B is made by Nous Research. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Hermes 3 70B scores MT-Bench: 89.9%, HellaSwag: 88.2%, BoolQ: 88.0%, PIQA: 84.4%, Winogrande: 83.2%.
Gemma 3n E2B supports an unknown number of tokens and Hermes 3 70B supports 131K 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 Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E2B is developed by Google and Hermes 3 70B is developed by Nous Research.