Google: Gemma 3n 2B (free)

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

Released Jul 9, 20258,192 context

$0/M input tokens$0/M output tokens

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.

Providers for Gemma 3n 2B (free)

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Performance for Gemma 3n 2B (free)

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Effective Pricing for Gemma 3n 2B (free)

Actual cost per million tokens across providers over the past hour

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Prompt

2.52M

Completion

2.04M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Gemma 3n 2B (free)

Uptime stats for Gemma 3n 2B (free) across all providers

Sample code and API for Gemma 3n 2B (free)

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OpenRouter provides an OpenAI-compatible completion API to 300+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

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Using third-party SDKs

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See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.

Gemma 3n 2B (free) - API Pricing & Providers | OpenRouter