Gemma 4 26B A4B

Name: Gemma 4 26B A4B（混合专家模型）
Author: DeepMind

Chat modelGemmaGemma 4

Gemma 4 26B A4B（混合专家模型）

Release date: 2026-04Updated: 2026-04-05 10:27:43Knowledge cutoff: 2025-121,046

Live demoGitHubHugging Face Compare

Parameters

2.52B

Context length

256K

Chinese support

Not supported

Reasoning ability

Gemma 4 26B A4B（混合专家模型） is an AI model published by DeepMind, released on 2026-04, for Chat model, with 2.52B parameters, and 256K context length, under the Apache 2.0 license, with a 88.30 score on AIME 2026.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Gemma 4 26B A4B

Model basics

Reasoning traces

Supported

Thinking modes

Thinking modes not supported

Context length

256K tokens

Max output length

32K tokens

Model type

Chat model

Modality (in / out)

Text, Image, Video → Text

Release date

2026-04

Model file size

No data

MoE architecture

Yes

Total params / Active params

2.52B / 400M

Knowledge cutoff

2025-12

Gemma 4 26B A4B

Open source & experience

Code license

Apache 2.0

Weights license

Apache 2.0- 免费商用授权

GitHub repo

GitHub link unavailable

Hugging Face

https://huggingface.co/google/gemma-4-26b-a4b

Live demo

https://ai.google.dev/gemma

Gemma 4 26B A4B

Official resources

Paper

No paper available

DataLearnerAI blog

Gemma 4 26B A4B

API details

API speed

No data

No public API pricing yet.

Gemma 4 26B A4B

Benchmark Results

Gemma 4 26B A4B currently shows benchmark results led by LiveCodeBench (34 / 120, score 77.10), GPQA Diamond (66 / 179, score 82.30), MMLU Pro (47 / 126, score 82.60). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.