Gemma 4 26B A4B

Google DeepMind, open modelgemma-4-26b-a4bModel source: Hugging Face

Understands text and images at once without being a heavy model.

Reads in one go

≈ 70 pages

32,768 tokens

Brain size

Mid-sized

26B MoE, 3.8B active, NVFP4

Where it runs

Spain (EU)

MIG B200

Understands

Text, not images

Reasoning, Tools

What it is good at

Reasoning. Thinks in several steps before answering, for problems that take more than one.
Tools. Searches, queries data and calls other systems. The basis of an agent.
MoE. Mixture of Experts: it splits big tasks and shares them among specialists, switching on only the ones it needs. It performs like a huge model without costing like one.

Only need simple chat, classification or translation? Qwen3.5 9B does it for a fraction of the price, and switching model is switching one word.

Pricing

€ per million tokens, VAT included

You send (input)0.12 €

It answers (output)0.30 €

Re-reading repeats (cache)0.012 €

1,000 chat answers~0.15 €

Analysing a 200 page contract~0.01 €

try it with 50 € freeActivated with your card. Enough for about 333,333 answers.

For your technical team

Compatible with the OpenAI SDK: change the base URL and the key, and that is it.

curl https://api.gpuflow.ai/v1/chat/completions \
  -H "Authorization: Bearer $GPUFLOW_API_KEY" \
  -d '{ "model": "gemma-4-26b-a4b",
        "messages": [{ "role": "user", "content": "Hola" }] }'