Gemma 4 26B API in Europe

Gemma 4 26B API in Europe

Efficient Agentic Reasoning

Access Gemma 4 26B A4B on EU-hosted infrastructure through AKI.IO’s OpenAI- and Anthropic-compatible APIs. Built for coding, function calling, multimodal understanding, and long-context workflows with 256K context and strong price-performance.

Get your Gemma 4 26B key

€10 free token credit. No credit card required.

OpenAI-Compatible API

Data never leaves Europe

Token-based pricing

EU-hosted infrastructure

Efficient Open-Weight MoE for EU-Hosted Agentic Workloads

Gemma 4 26B A4B is Google DeepMind’s open-weight Mixture-of-Experts model with 25.2B total and 3.8B active parameters. It supports text and image input, 256K context, native function calling, system prompts, and configurable thinking. Benchmarks show strong reasoning and coding results, including 88.3% on AIME 2026 and 77.1% on LiveCodeBench v6.

Through AKI.IO, European teams can evaluate and deploy Gemma 4 via OpenAI- and Anthropic-compatible APIs without running their own GPU stack.

Pricing (1M tokens): Input €0.25 / Output €0.65

Efficient Thinking Before Tool Execution

Gemma 4 26B A4B is optimized for workflows where the model has to reason, call tools, and keep context across several steps. Its MoE design activates only a small parameter subset per token, helping keep inference efficient while preserving strong reasoning and coding performance. For structured outputs and tool-heavy flows, use clear schemas, prompt formatting, and generation settings.

LiveCodeBench v6
77.1%
AIME 2026
88.3%
"Strong official coding result for code generation and competitive programming tasks."
LiveCodeBench v6
"High reasoning score for an efficient open-weight MoE model."
AIME 2026

Where Gemma 4 26B A4B Delivers Value in Production

Gemma 4 26B A4B is well suited for teams that need efficient reasoning, coding support, multimodal understanding, and long-context AI without managing model hosting themselves. It supports production use cases where speed, EU data residency, and easy migration from existing API setups matter.

  • Agentic Workflows: Multi-step tasks with native function calling, tool orchestration, and context management
  • Coding Assistants: Code generation, completion, debugging, and workflow support with strong LiveCodeBench results
  • Long-Context Multimodal Understanding: Analyze long documents, screenshots, charts, and image-grounded context
  • Enterprise Integration: Deploy via OpenAI- and Anthropic-compatible APIs on EU-hosted infrastructure, without self-hosting overhead

Drop-In Replacement

Integration is simple. Replace the endpoint and API key to move existing OpenAI- or Anthropic-style setups to AKI.IO. Your app logic, agent framework, and orchestration layer can remain largely unchanged while inference runs on European infrastructure.

Get started today
# Call Gemma 4 26B via AKI.IO API
curl https://aki.io/v1/chat/completions \
  -H "Authorization: Bearer $AKI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemma4-26b",
    "messages": [{"role": "user", "content": "Create a React component for..."}],
    "max_tokens": 4096
  }'

Get your Gemma 4 26B API key today!

Get your API Key and get €10 free token credits!

Gemma 4 26B FAQ

What is Gemma 4 26B A4B?

An open-weight Mixture-of-Experts model from Google DeepMind with 25.2B total and 3.8B active parameters, designed for reasoning, coding, function calling, and multimodal input.

Is the Gemma 4 API OpenAI compatible?

Yes. AKI.IO exposes Gemma 4 through OpenAI- and Anthropic-compatible interfaces on EU-hosted infrastructure.

Is Gemma 4 26B A4B good for agentic workflows?

Yes. It supports native function calling and is positioned by Google DeepMind for agentic workflows. For production tool chains, test prompt formatting, schemas, and generation settings before rollout.

What modalities does Gemma 4 26B A4B support?

Gemma 4 26B A4B supports text and image input!

What is AKI.IO?

A European AI API platform for secure, EU-hosted access to curated open-source and open-weight models without US hyperscalers.