Gemma 3 4B — Especificaciones
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Desarrollador | |
|---|---|
| Tipo | LLM (multimodal) |
| Modalidad | Texto, imagen → texto |
| Parámetros | 4 mil millones |
| Ventana de contexto | 128 K |
| Licencia | Gemma (abierta) |
| Pesos abiertos | Sí |
| Lanzado | 2025 |
| Precio de entrada | $0.05 /1M |
| Precio de salida | $0.1 /1M |
| Proveedores de API | Google AI Studio, Ollama |
Ejecútelo localmente
| VRAM (4 bits) | ~3 GB |
|---|---|
| GPU mínima | Cualquier GPU de 6 GB o más |
What is Gemma 3 4B?
Gemma 3 4B is the compact end of Google’s open Gemma 3 family: multimodal text and image
input, a 128K context, and roughly 3 GB of VRAM at 4-bit — small enough for almost any modern
GPU, and for a good deal of hardware that is not a GPU at all.
What is unusual here is the context window. A 4B model with 128K context is not the normal
trade-off; small models historically shipped with small windows, which limited them to short
prompts and made them useless for document work. Gemma 3 4B can hold a substantial document
in memory on a 6 GB card, which opens up edge and on-device use cases — local document
search, offline assistants, in-browser or in-app inference — that previously required sending
data to a server. Do not expect it to reason like a frontier model; expect it to be the
model that makes a privacy-preserving feature feasible at all. At $0.05 in / $0.10 out per
million tokens the hosted option is close to free, so self-hosting here is about data
residency and latency, not cost.
Gemma 3 4B pricing: API cost per 1M tokens
| Entrada (por cada millón de tokens) | $0.0500 |
|---|---|
| Salida (por cada millón de tokens) | $0.100 |
| Relación salida/entrada | 2× |
| Combinada (4:1 entrada:salida) | $0.0600 por 1 millón de tokens |
What Gemma 3 4B costs per month
Gasto mensual real con una mezcla entrada:salida de 4:1, es decir, la proporción que realmente genera una carga de trabajo típica de chat o RAG.
| Carga de trabajo | Tokens/mes | Coste mensual |
|---|---|---|
| Proyecto secundario | 1 millón de tokens de entrada / 0,25 millones de tokens de salida | $0.08 |
| Pequeño equipo | 20 millones de tokens de entrada / 5 millones de tokens de salida | $1.50 |
| Producción | 200 millones de tokens de entrada / 50 millones de tokens de salida | $15 |
Calcule sus propios números en la Calculadora de costos de API de IA.
Cheaper alternatives to Gemma 3 4B
| Modelo | Dólares por millón combinados | Usted ahorra |
|---|---|---|
| Mistral 7B abierta | $0.0220 | 63 % más barato |
| Llama 3.1 8B abierta | $0.0220 | 63 % más barato |
| Mistral NeMo 12B abierta | $0.0240 | 60% cheaper |
¿Autoalojarlo o pagar por la API?
Gemma 3 4B is open-weight, so you can run it yourself. It needs ~3 GB of VRAM at 4-bit (Any 6GB+ GPU). Self-hosting only beats the API once your volume is high enough to keep that hardware busy — the calculadora de autohospedaje frente a API calcula el punto de equilibrio para su volumen de tokens.
Preguntas frecuentes
How much does Gemma 3 4B cost per 1M tokens?
Gemma 3 4B costs $0.0500 per 1M input tokens and $0.100 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $0.0600 per 1M tokens.
How much does Gemma 3 4B cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $1.50 on Gemma 3 4B. A side project (1M in / 0.25M out) costs roughly $0.08.
What is a cheaper alternative to Gemma 3 4B?
Mistral 7B is the strongest cheaper option in our database at $0.0220 per 1M blended — about 63% less than Gemma 3 4B. It is also open-weight, so self-hosting is an option.
Can I run Gemma 3 4B locally?
Yes. Gemma 3 4B is open-weight and needs about ~3 GB of VRAM at 4-bit quantisation (Any 6GB+ GPU).
Why does Gemma 3 4B charge more for output than input?
Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. Gemma 3 4B charges 2× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
Los precios corresponden a las tarifas oficiales publicadas para la API principal del modelo y se revisan periódicamente conforme los proveedores los actualicen. No incluyen descuentos por volumen, procesamiento por lotes ni entradas en caché. Compare todos los modelos uno al lado del otro en la Base de datos de modelos de IA o el Clasificación de modelos de lenguaje grande (LLM).