Gemma 4 26B A4B — Specifications
Compilado por Mustafa Ihsan da documentação publicada pelo fornecedor · Última atualização
| Desenvolvedor | |
|---|---|
| Tipo | LLM (multimodal) |
| Modalidade | Texto, Imagem → Texto |
| Parâmetros | 25.2B total / 3.8B active |
| Janela de contexto | 256K |
| Licença | Apache 2.0 |
| Pesos abertos | Sim |
| Lançado | 2026-03 |
| Preço da entrada | $0.15 /1M |
| Preço da saída | $0.60 /1M |
| Provedores de API | Google Cloud (managed API), DeepInfra, OpenRouter (hosted); Gemini API (free tier only); Ollama (local) |
Execute-o 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 preços 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 1 milhão de tokens) | $0.150 |
|---|---|
| Saída (por 1 milhão de tokens) | $0.600 |
| Razão saída/entrada | 4× |
| Misturada (4:1 entrada:saída) | $0.240 por 1 milhão de tokens |
What Gemma 4 26B A4B costs per month
Gasto mensal real com uma proporção de entrada para saída de 4:1 — a razão efetivamente gerada por cargas de trabalho típicas de chat ou RAG.
| Carga de trabalho | Tokens/mês | Custo por mês |
|---|---|---|
| Projeto paralelo | 1 milhão de tokens de entrada / 0,25 milhão de tokens de saída | $0.30 |
| Equipe pequena | 20 milhões de tokens de entrada / 5 milhões de tokens de saída | $6.00 |
| Produção | 200 milhões de tokens de entrada / 50 milhões de tokens de saída | $60 |
Calcule seus próprios números na Calculadora de custos de API de IA.
Cheaper alternatives to Gemma 4 26B A4B
| Modelo | Custo médio ponderado por US$ 1 milhão | Você economiza |
|---|---|---|
| Llama 3.1 8B aberta | $0.0240 | 90% cheaper |
| Mistral NeMo 12B aberta | $0.0292 | 88% mais barato |
| Gemma 3 4B aberta | $0.0600 | 75% mais barato |
Hospedar localmente ou pagar pela 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 self-hosting vs API calcula o ponto de equilíbrio para seu volume de tokens.
Perguntas frequentes
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.
Os preços correspondem às tarifas listadas oficialmente para a API principal do modelo e são revisados conforme os provedores os atualizam. Descontos por volume, processamento em lote ou entradas em cache não estão incluídos. Compare todos os modelos lado a lado na Banco de dados de modelos de IA ou o Ranking de LLMs.