Gemma 4 26B A4B — Specifications
Compilado por Mustafa Ihsan de la documentación publicada por el proveedor · Última actualización
| Desarrollador | |
|---|---|
| Tipo | LLM (multimodal) |
| Modalidad | Texto, imagen → texto |
| Parámetros | 25.2B total / 3.8B active |
| Ventana de contexto | 256K |
| Licencia | Apache 2.0 |
| Pesos abiertos | Sí |
| Lanzado | 2026-03 |
| Precio de entrada | $0.15 /1M |
| Precio de salida | $0.60 /1M |
| Proveedores de API | Google Cloud (managed API), DeepInfra, OpenRouter (hosted); Gemini API (free tier only); Ollama (local) |
Ejecútelo localmente
| VRAM (4 bits) | ~14.4 GB |
|---|
Benchmarks
| Google-reported | MMLU Pro 82.6%; GPQA Diamond 82.3%; LiveCodeBench v6 77.1%; AIME 2026 (no tools) 88.3%; MMMU Pro 73.8%. |
|---|
What is Gemma 4 26B A4B?
Gemma 4 26B A4B is the mixture-of-experts model in Google DeepMind’s open Gemma 4 family, released on 31 March 2026 under the Apache 2.0 licence. Its model card lists 25.2 billion parameters in total but only 3.8 billion active per token (8 of 128 experts plus one shared), text and image input and a 256K-token context. Google says it runs almost as fast as a 4B model, and reports 82.6% on MMLU Pro, 82.3% on GPQA Diamond and 77.1% on LiveCodeBench v6, against 85.2%, 84.3% and 80.0% for the dense Gemma 4 31B.
Google Cloud sells it as a managed API at $0.15 per million input tokens and $0.60 output, with cache hits at $0.015; its página de precios calls it “Gemma 4 26B”. That is the price stored in this entry. DeepInfra lists it for less, at $0.07 and $0.34, and Google’s Gemini API serves gemma-4-26b-a4b-it on its free tier only.
Running it locally takes more memory than the “A4B” suggests. Google notes that all 26 billion parameters must be loaded to keep routing fast, and estimates about 14.4 GB at 4-bit (Q4_0) for the weights alone, before the context window. Ollama’s gemma4:26b-a4b-it-q4_K_M build is an 18 GB download, more than a 16 GB card holds. Size it with the Calculadora de VRAM and see how to run Gemma 4 in Ollama. In the previous generation, the nearest size was Gemma 3 27B.
Gemma 4 26B A4B pricing: API cost per 1M tokens
| Entrada (por cada millón de tokens) | $0.150 |
|---|---|
| Salida (por cada millón de tokens) | $0.600 |
| Relación salida/entrada | 4× |
| Combinada (4:1 entrada:salida) | $0.240 por 1 millón de tokens |
What Gemma 4 26B A4B 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 | $0.30 |
| Pequeño equipo | 20 millones de tokens de entrada / 5 millones de tokens de salida | $6.00 |
| Producción | 200 millones de tokens de entrada / 50 millones de tokens de salida | $60 |
Calcule sus propios números en la Calculadora de costos de API de IA.
Cheaper alternatives to Gemma 4 26B A4B
| Modelo | Dólares por millón combinados | Usted ahorra |
|---|---|---|
| Llama 3.1 8B abierta | $0.0240 | 90% cheaper |
| Mistral NeMo 12B abierta | $0.0292 | 88% más barato |
| Gemma 3 4B abierta | $0.0600 | un 75 % más económico |
¿Autoalojarlo o pagar por la API?
Gemma 4 26B A4B is open-weight, so you can run it yourself. It needs ~14.4 GB of VRAM at 4-bit. 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 4 26B A4B cost per 1M tokens?
Gemma 4 26B A4B costs $0.150 per 1M input tokens and $0.600 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $0.240 per 1M tokens.
How much does Gemma 4 26B A4B cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $6.00 on Gemma 4 26B A4B. A side project (1M in / 0.25M out) costs roughly $0.30.
What is a cheaper alternative to Gemma 4 26B A4B?
Llama 3.1 8B is the strongest cheaper option in our database at $0.0240 per 1M blended — about 90% less than Gemma 4 26B A4B. It is also open-weight, so self-hosting is an option.
Can I run Gemma 4 26B A4B locally?
Yes. Gemma 4 26B A4B is open-weight and needs about ~14.4 GB of VRAM at 4-bit quantisation.
Why does Gemma 4 26B A4B 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 4 26B A4B charges 4× 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).