google/gemma-3-4b-it✓ Catalog verified
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
Overview
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
Access: available through the official Google API. Context window: 131K.
Specifications
| API identifier | google/gemma-3-4b-it |
| Provider | |
| Model type | Multimodal LLM |
| Context window | 131K catalog |
| Input modalities | text · image |
| Output modalities | text |
| Released | Mar 13, 2025 |
| Tokenizer | Gemini |
| Instruction format | gemma |
| Moderated | No |
| Architecture modality | text+image->text |
Pricing
Live pricing components for google/gemma-3-4b-it as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $5e-8 | $0.05 / 1M | Per input token |
| Completion tokens | $1e-7 | $0.10 / 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
$0.05Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | ✓ Supported | 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-3-4b-it 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-3-4b-it",
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 |
|---|---|---|---|---|
| AionLabs: Aion-1.0 | Aion Labs | 131K | $4.00 | View → |
| AionLabs: Aion-1.0-Mini | Aion Labs | 131K | $0.70 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does google/gemma-3-4b-it cost?
$0.05 per 1M input tokens and $0.10 per 1M output tokens on the official Google API.
What is the context window of google/gemma-3-4b-it?
google/gemma-3-4b-it supports up to 131K tokens of context.
Does google/gemma-3-4b-it support tool / function calling?
google/gemma-3-4b-it does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.
How do I access google/gemma-3-4b-it?
Use the official Google API with the model id `google/gemma-3-4b-it`. See the Quick start section above for code examples.