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Gemma 4 26B A4B IT
Gemma 4 26B A4B IT

Open WeightsChat & ReasoningtextimageUpdated April 2, 2026
Some details or benchmark scores on this page are self-reported by developers and unconfirmed.

Gemma 4 26B A4B IT

📌 Model Overview

Open Gemma instruction model for efficient chat and self-hosted deployments

Gemma 4 26B A4B IT is a Open Weights model developed by Google DeepMind, released on 2026-04-02. It is designed primarily for Chat Reasoning workloads. Featuring a 262K tokens context window and 26B parameter count, it offers robust performance for enterprise integration, developers, and researchers.


✨ Key Features & Capabilities

Specification Table
FeatureDescription
Context Window262K tokens capacity for extended prompts and multi-turn workflows
Primary TaskOptimized for Chat Reasoning
Deploymentself-hostable, api-only
Modalitytext, image
Max OutputMax Output: 33K tokens
Native reasoning capabilityNative reasoning capability
Tool / function calling supportTool / function calling support

⚙️ Technical Specifications

Specification Table
SpecificationDetails
Developer / LabGoogle DeepMind
Release Date2026-04-02
Model TypeOpen Weights
Parameters26B
Context Window262K tokens
Licenseproprietary
Model Familygemma

💰 Pricing

Specification Table
Tier / UnitRate (USD)
1M input tokens$0.13
1M output tokens$0.4

🔗 Resources & Links

Specification Table

📜 License & Usage

This model is governed by the proprietary license. Please check official developer guidelines before commercial deployment.

Key Features

Max Output: 33K tokens

Feature 01

Native reasoning capability

Feature 02

Tool / function calling support

Feature 03

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Verified Sources

Tags

reasoningtool-callingstructured-outputopen-weights

Model Specs

open-weights

Parameters

26B

Context Window

262K tokens

License

proprietary

Deployment

self-hostableapi-only

Pricing

  • 1M input tokens$0.13
  • 1M output tokens$0.4

as of 2026-07-26

Resources & Links

Lineage

Model Family

Part of the gemma family

Curator Notes

Skeleton entry imported from models.dev backfill (2026-07-26). Needs manual enrichment and primary-source verification.

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