Gemma 3n 2B (free)

Gemma 3n 2B (free) by Google excels in the Coding category, where it ranks #165 with a composite score of 46/100. 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. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Gemma 3n 2B (free) is priced at $0.00 per million input tokens and $0.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Gemma 3n 2B (free) holds rank #165 out of 6 models tracked. Its quality rank is #165 and adoption rank is #165. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Gemma 3n 2B (free) has been evaluated across 6 different signals. Its strongest areas include Capabilities (29/100), Context Window (62/100), Output Capacity (55/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 46/100 reflects a weighted combination of all tracked signals.

Gemma 3n 2B (free) is available as a free, open-source model. You can run it locally or use it through various hosting providers. Some API providers may charge for hosted inference, so check individual provider pricing.