Gemma 4 26B A4B IT
Gemma 4 26B A4B IT is Google's open-weight mixture-of-experts model with 26B total parameters and roughly 4B active per forward pass. Built on the Gemini 3 architecture, it supports function-calling, structured JSON output, native vision, and 140+ languages within a context window of 262.1K tokens.
import { streamText } from 'ai'
const result = streamText({ model: 'google/gemma-4-26b-a4b-it', prompt: 'Why is the sky blue?'})What To Consider When Choosing a Provider
Zero Data Retention
AI Gateway supports Zero Data Retention for this model via direct gateway requests (BYOK is not included). To configure this, check the documentation.Authentication
AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
Evaluate whether the MoE architecture's latency and throughput characteristics fit your workload before selecting a provider variant at production scale.
When to Use Gemma 4 26B A4B IT
Best For
Latency-sensitive production workloads:
The MoE architecture's lower compute-per-token translates to faster response times
Cost-efficient agentic pipelines:
Need function-calling and structured output at high request volumes
Multilingual applications:
Serving users across 140+ languages with a single model
Vision-language tasks:
Image understanding, visual Q&A, and document analysis within a context window of 262.1K tokens
Open-weight workloads:
The ability to inspect model weights matters
Consider Alternatives When
Highest output quality needed:
Latency is not a constraint, and the dense Gemma 4 31B or a Gemini model may be more appropriate
Native image or audio generation:
Your task requires media output, which Gemma 4 26B A4B IT does not support
Simple classification or extraction:
A smaller, cheaper model is sufficient for straightforward workloads
Conclusion
Gemma 4 26B A4B IT provides Gemini 3-class capabilities in an open-weight package optimized for throughput. The MoE architecture keeps inference fast and affordable. For teams that need strong multilingual, multimodal reasoning without proprietary lock-in, it is a practical production choice on AI Gateway.
FAQ
Gemma 4 26B A4B IT has 26B total parameters split across expert sub-networks. A routing mechanism activates roughly 4B parameters per forward pass, selecting the most relevant experts for each input. This reduces compute per token compared to a dense model of equivalent total size.
Gemma 4 26B A4B IT prioritizes latency and throughput by activating fewer parameters per token. The dense Gemma 4 31B activates all 31B parameters, targeting higher output quality at the cost of more compute. Choose Gemma 4 26B A4B IT when speed matters and the dense variant when quality is the priority.
Gemma 4 26B A4B IT accepts text and image inputs. It does not generate images or audio. Use it for text generation, visual understanding, and structured output tasks.
Over 140 languages. The instruction-tuning covers multilingual conversational and task-oriented use cases.
Set the model to google/gemma-4-26b-a4b-it in the AI SDK. AI Gateway handles provider routing, retries, and failover automatically.
Yes. It supports function-calling for agentic workflows, structured JSON output, and system instructions natively, sharing these capabilities with the Gemini 3 architecture it is built on.
