Google: Gemma 3n 2B (free)✓ Catalog verified
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.
Overview
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.
Access: available through the official Google API. Context window: 8K.
Specifications
| API identifier | google/gemma-3n-e2b-it:free |
| Provider | |
| Model type | Text LLM |
| Context window | 8K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Jul 9, 2025 |
| Moderated | No |
| Architecture modality | text->text |
Pricing
Live pricing components for google/gemma-3n-e2b-it:free as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $0 | $0.00 / 1M | Per input token |
| Completion tokens | $0 | $0.00 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | Not advertised | Supports tools / function calling |
| Self-Hosting | Not advertised | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Google: Gemma 3n 2B (free) through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="google/gemma-3n-e2b-it:free",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| Meta: Llama 3 70B Instruct | Meta | 8K | $0.51 | View → |
| Meta: Llama 3 8B Instruct | Meta | 8K | $0.03 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Google: Gemma 3n 2B (free) cost?
$0.00 per 1M input tokens and $0.00 per 1M output tokens on the official Google API.
What is the context window of Google: Gemma 3n 2B (free)?
Google: Gemma 3n 2B (free) supports up to 8K tokens of context.
Does Google: Gemma 3n 2B (free) support tool / function calling?
Google: Gemma 3n 2B (free) does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.
How do I access Google: Gemma 3n 2B (free)?
Use the official Google API with the model id `google/gemma-3n-e2b-it:free`. See the Quick start section above for code examples.