Gemma 3 27B — Especificaciones
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Desarrollador | |
|---|---|
| Tipo | LLM (multimodal) |
| Modalidad | Texto, imagen → texto |
| Parámetros | 27B |
| Ventana de contexto | 128 K |
| Licencia | Gemma (abierta) |
| Pesos abiertos | Sí |
| Lanzado | 2025 |
| Precio de entrada | $0.08 /1M |
| Precio de salida | $0.16 /1M |
| Proveedores de API | Google AI Studio, OpenRouter, Ollama |
Ejecútelo localmente
| VRAM (4 bits) | ~16 GB |
|---|---|
| GPU mínima | RTX 4080 16 GB / RTX 4090 |
What is Gemma 3 27B?
Gemma 3 27B is the largest open model in Google’s Gemma 3 line — multimodal across text
and images, 128K context, 140+ languages — and the strongest single-GPU local model in its
class. It needs roughly 16 GB of VRAM at 4-bit, so an RTX 4080 16GB or an RTX 4090.
The phrase “single-GPU” is what makes it interesting. Above this size, open models tend to
jump straight to multi-GPU servers: 70B-class models want 40 GB, and the large
mixture-of-experts flagships want hundreds. Gemma 3 27B is close to the ceiling of what one
consumer card can hold while remaining genuinely capable, which makes it the practical
maximum for a workstation deployment. Teams that need on-premises inference for compliance
reasons, and can live with 27B-class quality rather than frontier quality, can serve it from
a single machine instead of a rack. The API price of $0.08 in / $0.16 out per million tokens
is low enough that self-hosting only pays at sustained volume — worth checking against the
autohospedaje frente a API
calculadora antes de comprar hardware.
Gemma 3 27B pricing: API cost per 1M tokens
| Entrada (por cada millón de tokens) | $0.0800 |
|---|---|
| Salida (por cada millón de tokens) | $0.160 |
| Relación salida/entrada | 2× |
| Combinada (4:1 entrada:salida) | $0.0960 por 1 millón de tokens |
What Gemma 3 27B 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 | $0.12 |
| Pequeño equipo | 20 millones de tokens de entrada / 5 millones de tokens de salida | $2.40 |
| Producción | 200 millones de tokens de entrada / 50 millones de tokens de salida | $24 |
Calcule sus propios números en la Calculadora de costos de API de IA.
Cheaper alternatives to Gemma 3 27B
| Modelo | Dólares por millón combinados | Usted ahorra |
|---|---|---|
| Phi-4 abierta | $0.0840 | 13% cheaper |
¿Autoalojarlo o pagar por la API?
Gemma 3 27B is open-weight, so you can run it yourself. It needs ~16 GB of VRAM at 4-bit (RTX 4080 16GB / RTX 4090). 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 27B cost per 1M tokens?
Gemma 3 27B costs $0.0800 per 1M input tokens and $0.160 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $0.0960 per 1M tokens.
How much does Gemma 3 27B cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $2.40 on Gemma 3 27B. A side project (1M in / 0.25M out) costs roughly $0.12.
What is a cheaper alternative to Gemma 3 27B?
Phi-4 is the strongest cheaper option in our database at $0.0840 per 1M blended — about 13% less than Gemma 3 27B. It is also open-weight, so self-hosting is an option.
Can I run Gemma 3 27B locally?
Yes. Gemma 3 27B is open-weight and needs about ~16 GB of VRAM at 4-bit quantisation (RTX 4080 16GB / RTX 4090).
Why does Gemma 3 27B 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 27B 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).