Vision · Google DeepMind
Run Gemma 4 26B A4B in the EU through an OpenAI-compatible API
Gemma 4 26B A4B is the mixture-of-experts member of Google DeepMind's Gemma 4 family: about 25 billion parameters in total, but only 3.8 billion active per token. On inference.eu you call it with the OpenAI or Anthropic request format, your requests are processed in EU data centres, and nothing you send is used for training.
- 0125.2B · 3.8B
- 02EU data centres
- 03Apache 2.0
What Gemma 4 26B A4B is
Gemma 4 26B A4B is an open mixture-of-experts model from Google DeepMind, released in April 2026 under the Apache 2.0 licence. The model card lists 25.2 billion total parameters and 3.8 billion active parameters, a vision encoder of about 550 million parameters, and a context window of 256K tokens.
The A in the name stands for active parameters: only a small subset of the network works on each token, so the model runs much faster than its total size suggests. Like the rest of Gemma 4, it takes text and images in any order and produces text, and it is designed for reasoning, coding and agent workflows.
What it does well, and where it falls short
This is a good fit for high-volume workloads where speed and throughput matter: classification, extraction, summaries, chat and image questions at scale. It reads screenshots, charts and scanned pages, supports tool calls, and keeps the full 256K context of the larger Gemma 4 model.
With under 4 billion active parameters, it is less thorough than the dense Gemma 4 31B on hard reasoning, long writing and complex code. It does not accept audio. For tasks where a wrong answer is expensive, test it against the 31B model or a larger reasoning model before choosing; for everyday tasks it is often good enough at a fraction of the compute.
Calling Gemma 4 26B A4B through the API
inference.eu uses the OpenAI request format, so your OpenAI SDK code, LangChain, LlamaIndex and the Vercel AI SDK work unchanged. Set the base URL to the inference.eu API, use your inference.eu key and set the model to gemma-4-26b-a4b.
Send images as image_url content parts next to your text. Tool calls, JSON output and streaming work as usual. The Anthropic Messages format is also available, so tools built for Claude can use Gemma 4 26B A4B too. Because the request format is the same for every model, you can A/B test it against Gemma 4 31B by changing only the model string.
Data residency for Gemma 4 26B A4B
On inference.eu, Gemma 4 26B A4B runs on infrastructure in the European Union. Your prompts, images and responses are processed in EU data centres, are not shared with Google, and are never used to train any model.
We sign a data processing agreement under Article 28 of the GDPR with every customer and provide our subprocessor list, so your records of processing can name every party involved. Billing is in euros, on the same invoice as every other model you use. The Apache 2.0 licence allows commercial use without user limits, so you can build the model into paid products straight away.
import os
from openai import OpenAI
client = OpenAI(base_url="https://api.inference.eu/v1", api_key=os.environ["INFERENCE_EU_API_KEY"])
response = client.chat.completions.create(
model="gemma-4-26b-a4b",
messages=[{"role": "user", "content": "Summarise this contract in five bullet points."}],
)
print(response.choices[0].message.content)What teams use it for
- 1
High-volume classification
Tag support tickets, reviews or emails by topic, urgency and language across large daily volumes.
- 2
Screenshot triage
Read error screenshots and photos from users and route them to the right team with a short summary.
- 3
Lightweight agents
Run tool-calling agents for routine tasks such as lookups and form filling where speed matters more than depth.
Gemma 4 26B A4B: common questions
The questions buyers, developers and legal teams ask us most. Something missing? Ask us directly.
Related
- Gemma 4 31BRun Google's Gemma 4 31B on inference.eu: an open multimodal model with 256K context behind an OpenAI-compatible API, processed in EU data centres.Vision
- Qwen3.6 35B A3BRun Qwen3.6 35B A3B on inference.eu: a fast mixture-of-experts model with 3B active parameters, image input and 256K context, processed in the EU.Code
- gpt-oss-20bRun OpenAI's compact open-weight gpt-oss-20b reasoning model on inference.eu: the OpenAI API format, processed in EU data centres, billed in euros.Reasoning
- Mistral Small 4 119BRun Mistral Small 4 119B from French lab Mistral AI on inference.eu: reasoning, vision and code in one model, processed in EU data centres.Chat
Move your AI workloads to EU infrastructure
Tell us which models you use and roughly how much traffic you have. We reply within one working day with pricing and next steps.
- Reply within one working day
- Pricing for your volume
- DPA ready to sign