Gemma 4 26B A4B é um modelo multimodal aberto do Google com 256K de contexto, texto, imagem e entrada de vídeo, ferramentas e saída estruturada.
GoogleGeração de Texto256K contextoLançado Mar 31, 2026Inferência nativaNovoGemma 4 26B A4B é um modelo multimodal aberto do Google com 256K de contexto, texto, imagem e entrada de vídeo, ferramentas e saída estruturada.
Suporta entrada de texto, imagem e vídeo, streaming, ferramentas de função, saída JSON estruturada, controle de sementes e modo de pensamento por padrão. Use raciocination effort ou thinking budget para o pensamento limitado, ou ative thinking=false para respostas diretas. As leituras de cache automáticas são cobradas pela taxa de entrada em cache quando relatadas pelo serviço do modelo. Os controles de cache explícitos não são suportados.
Também conhecido como Google Gemma 4 26B-A4B, Gemma-4-26B-A4B
gemma-4-26b-a4bPOST /v1/chat/completionsPOST /v1/responsesPOST /v1/messagesPOST /v1/completionsLive pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.
Gemma 4 26B-A4B serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id gemma-4-26b-a4b. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemma-4-26b-a4b",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'from openai import OpenAI
client = OpenAI(
base_url="https://api.empiriolabs.ai/v1",
api_key="YOUR_EMPIRIOLABS_API_KEY",
)
response = client.chat.completions.create(
model="gemma-4-26b-a4b",
messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)Request parameters supported by the Gemma 4 26B-A4B API on EmpirioLabs. Defaults apply when a field is omitted.
| Parâmetro | Tipo | Padrão | Intervalo / valores | Descrição |
|---|---|---|---|---|
| temperature | number | 1 | 0 to 2 | Sampling temperature. Lower values are more deterministic. |
| top_p | number | 0.95 | 0 to 1 | Nucleus sampling probability mass. |
| max_tokens | integer | 4096 | 1 to 32768 | Maximum output tokens. |
| stop | string | - | - | One or more stop strings. |
| reasoning_effort | enum | medium | none, low, medium, high, max | Reasoning effort. none disables thinking; low, medium, high, and max set bounded thinking budgets. |
| enable_thinking | boolean | true | - | Enable the model reasoning channel before final output. |
| thinking_budget | integer | 4096 | 128 to 32768 | Maximum thinking tokens before the final answer. If max_tokens is lower, the service reserves room for the answer. |
| top_k | integer | 20 | 1 to 200 | Limit sampling to the top K candidate tokens when supported. |
| min_p | number | 0 | 0 to 1 | Minimum probability threshold for token sampling. |
| presence_penalty | number | 0 | -2 to 2 | Penalty for tokens that already appeared in the generated text. |
| frequency_penalty | number | 0 | -2 to 2 | Penalty based on how often a token has already appeared. |
| repetition_penalty | number | 1 | 0.1 to 2 | Penalty used by SGLang to reduce repeated text. |
| seed | integer | - | 0 to 2147483647 | Optional random seed for reproducible sampling. |
| logprobs | boolean | false | - | Return token log probabilities when supported. |
Suporta entrada de texto, imagem e vídeo, streaming, ferramentas de função, saída JSON estruturada, controle de sementes e modo de pensamento por padrão. Use raciocination effort ou thinking budget para o pensamento limitado, ou ative thinking=false para respostas diretas. As leituras de cache automáticas são cobradas pela taxa de entrada em cache quando relatadas pelo serviço do modelo. Os controles de cache explícitos não são suportados.
On EmpirioLabs, Gemma 4 26B-A4B is billed pay as you go: Entrada $0.05 (was $0.15) por fichas de alerta de 1M; Saída $0.29 (was $0.50) por tokens gerados 1M; Leu a 'cache' implícita $0.025 (was $0.15) por fichas de entrada em cache de 1M. The live rate card on this page always matches what the API charges.
Gemma 4 26B-A4B supports a 256K-token context window with up to 32,768 output tokens per response.
Yes. Gemma 4 26B-A4B serves the OpenAI-compatible Chat Completions API, so existing OpenAI SDKs work by pointing base_url at https://api.empiriolabs.ai/v1 and setting the model id to gemma-4-26b-a4b.
Yes. The EmpirioLabs playground runs Gemma 4 26B-A4B in the browser with the same parameters the API exposes, so you can test prompts before writing code.
Create an EmpirioLabs account, then generate a key under API Keys in the dashboard. Billing is pay-as-you-go credits, so you only pay for the requests you make.
Check out our pricing or reach out if you want your own model deployed on our stack.
