llmreference

Gemma 4 26B A4B

gemma-4-26b-a4b

Researched 28d ago

Last refreshed 2026-04-21. Next refresh: weekly.

Open SourceMultimodalRAGAgentsLong contextVisionJSON / Tool use

Gemma 4 26B A4B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Decision context: RAG task fit, 0 tracked provider routes, and research from 2026-04-21.

Use it for

  • Teams evaluating rag, agents, and long context
  • Workloads that can use a 256k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Teams that need a tracked hosted API route today

Cheapest output

-

No tracked output price

Provider routes

0

No provider route in seed

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-04-21

Researched 28d ago

fresh

Top use-case fit

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

About

Mixture of Experts (MoE) model with 26B total parameters, activating 4B per token. Efficient high-performance inference with advanced reasoning, supporting text, image, and video inputs.

Gemma 4 26B A4B has a 256K-token context window.

Capabilities

MultimodalFunction Calling

Rankings

Specifications

FamilyGemma 4
Released2026-03-31
Parameters26B
Context256k
Knowledge cutoff2025-01
Specializationgeneral

Created by

Pioneering artificial intelligence research.

London, United Kingdom
Founded 2014
Website