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Google: Gemma 3n 2B

google/gemma-3n-e2b-it:free

Model weights

Gemma 3n E2B IT is a multimodal, instruction-tuned model developed by Google DeepMind, designed to operate efficiently at an effective parameter size of 2B while leveraging a 6B architecture. Based on the MatFormer architecture, it supports nested submodels and modular composition via the Mix-and-Match framework. Gemma 3n models are optimized for low-resource deployment, offering 32K context length and strong multilingual and reasoning performance across common benchmarks. This variant is trained on a diverse corpus including code, math, web, and multimodal data.

Modalities

Price

Free

Context

8K

Released

Jul 9, 2025

Knowledge Cutoff

Aug 2024

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Activity

Token volume and request traffic to this model over time.

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Frequently asked questions

Gemma 3n E2B IT is a multimodal, instruction-tuned model developed by Google DeepMind, designed to operate efficiently at an effective parameter size of 2B while leveraging a 6B architecture. Based on the MatFormer architecture, it supports nested submodels and modular composition via the Mix-and-Match framework.

Yes. The pricing shown on this page for Gemma 3n 2B is zero, so you are not charged for prompt or completion tokens. Free endpoints are rate limited — see the rate limit docs.

Gemma 3n 2B has a 8,192 token context window.

Gemini 3.7 Flash, Gemini 3.6 Flash, Gemini 3.5 Flash Lite and 25 more are other text models from Google.

Gemma 3n 2B was released on July 9, 2025. Its knowledge cutoff is August 31, 2024.