Google: Gemma 3n 2B (free)

About

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.

Specifications

Context Length 8K

Max Output Tokens 2K

Modality text->text

Input text

Output text

Supported Parameters max_tokens, response_format, seed, temperature, top_p

Content Moderation No

Error Rate

Based on feedback reported by Free LLM Router users. Error rate reflects the percentage of requests that encountered issues such as rate limiting, unavailability, or errors. Learn more.

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Availability

Available 41 of 41 tracked days. Daily snapshots show whether this model was accessible as a free model on OpenRouter.

		Feb											Mar
Model	Days	18	19	20	21	22	23	24	25	26	27	28	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19
Google: Gemma 3n 2B (free)	30

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Frequently Asked Questions

Is Google: Gemma 3n 2B (free) free to use?

Yes, Google: Gemma 3n 2B (free) is completely free to use through OpenRouter. You can access it via the Free LLM Router API at no cost.

What is the context window for Google: Gemma 3n 2B (free)?

Google: Gemma 3n 2B (free) supports a context window of 8K tokens (8,192 tokens).

What is the maximum output length for Google: Gemma 3n 2B (free)?

Google: Gemma 3n 2B (free) can generate up to 2K tokens (2,048 tokens) per response.