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Gemma 4 26B A4B

Googlehuggingface.co/google/gemma-4-26B-A4B-it

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

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data quality65

Updated 6 h ago · first seen 11 Sept 2026

model_01M294WW1FFYS3E90RJS36V8HP

Overview

Identity

Identity block not returned by the API for this entity.

Openness

Openness not classified yet — no sourced evidence to place this model in the ontology.

Key facts

Release date

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 7 h agomedium

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Active parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Hugging Face repo

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Capabilities

Modalities

Modalities
imagetextvideo
Input
imagetextvideo
Output
text

Capabilities

  • Tool calling

    Yes

    OpenRouter public model & pricing listing · T2

  • Structured output

    Yes

    OpenRouter public model & pricing listing · T2

  • Reasoning

    Yes

    OpenRouter public model & pricing listing · T2

  • Vision

    Yes

    OpenRouter public model & pricing listing · T2

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:OpenRouter public model & pricing listingT2observed 9 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

No benchmark results recorded

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.
Current prices per 1M tokens
ProviderInput / 1MOutput / 1MCached inBatch in / outContextObservedSource
Google Gemini APIgoogle/gemma-4-26b-a4b-it:free$0$0262.1K8 h agoopenrouter.aiT2
Google Gemini APIgoogle/gemma-4-26b-a4b-it$0.042$0.22131.1K8 h agoopenrouter.aiT2

USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 1 provider

Output price history of Gemma 4 26B A4B$0$0.10$0.20$0.30Sept 26Sept 26Sept 26Sept 26Google Gemini API: first observed → $0.22 · 11 Sept 2026Google Gemini API: $0.22 → $0 · 11 Sept 2026
  • Google Gemini API
  • Google Gemini API$0.22$011 Sept 2026
  • Google Gemini APIfirst observed $0.2211 Sept 2026

Input price · USD / 1M tokens 1 provider

Input price history of Gemma 4 26B A4B$0$0.01$0.02$0.03$0.04$0.05Sept 26Sept 26Sept 26Sept 26Google Gemini API: first observed → $0.042 · 11 Sept 2026Google Gemini API: $0.042 → $0 · 11 Sept 2026
  • Google Gemini API
  • Google Gemini API$0.042$011 Sept 2026
  • Google Gemini APIfirst observed $0.04211 Sept 2026

Hardware fit37

Estimated

36 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit15.3 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit15.3 GB est.Yes
Apple M2 Ultra4bit15.3 GB est.Yes
Apple M1 Ultra4bit15.3 GB est.Yes
Apple M3 Max4bit15.3 GB est.Yes
Apple M4 Max4bit15.3 GB est.Yes
Mac Studio (Apple M5 Max)4bit15.3 GB est.Yes
MacBook Pro (Apple M5 Max)4bit15.3 GB est.Yes
Apple M2 Max4bit15.3 GB est.Yes
Apple M1 Max4bit15.3 GB est.Yes
Apple M4 Pro4bit15.3 GB est.Yes
Mac mini (Apple M5 Pro)4bit15.3 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit15.3 GB est.Yes
Apple M3 Pro4bit15.3 GB est.Yes
Apple M1 Pro4bit15.3 GB est.Yes
Apple M2 Pro4bit15.3 GB est.Yes
Apple M44bit15.3 GB est.Yes
iMac (Apple M4)4bit15.3 GB est.Yes
Mac mini (Apple M6)4bit15.3 GB est.Yes
MacBook Air (Apple M5)4bit15.3 GB est.Yes
MacBook Pro (Apple M5)4bit15.3 GB est.Yes
Apple M24bit15.3 GB est.Yes
Apple M34bit15.3 GB est.Yes
NVIDIA GeForce RTX 30904bit24 GB15.3 GB est.Yes
NVIDIA GeForce RTX 40904bit24 GB15.3 GB est.Yes
NVIDIA GeForce RTX 50904bit32 GB15.3 GB est.Yes
NVIDIA A100 80GB4bit80 GB15.3 GB est.Yes
NVIDIA H100 SXM4bit80 GB15.3 GB est.Yes
NVIDIA H100 NVL4bit94 GB15.3 GB est.Yes
NVIDIA DGX Spark4bit128 GB15.3 GB est.Yes
NVIDIA H2004bit141 GB15.3 GB est.Yes
NVIDIA H200 NVL4bit141 GB15.3 GB est.Yes
NVIDIA B2004bit180 GB15.3 GB est.Yes
AMD Instinct MI300X4bit192 GB15.3 GB est.Yes
AMD Instinct MI325X4bit256 GB15.3 GB est.Yes
NVIDIA DGX B2004bit1,440 GB15.3 GB est.Yes
Apple M14bit15.3 GB est.No
Assumptions (6)
  • Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead.
  • bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
  • KV cache approximated at 0.5 GB per 8 192 tokens of context, independent of architecture (GQA/MLA models need less).
  • A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
  • Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
  • Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
ANCESTORS 1DESCENDANTS 0 · ARTIFACTSgemma-4-26B-A4BGooglegemma-4-26B-A4B — Google2 quantizationsartifacts · collapsed2 quantizations — artifacts · collapsedGemma 4 26B A4B25.8B params · this modelGemma 4 26B A4B — 25.8B params · this model

Papers1

Change history42

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 12 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

Attributes as of 12 Sept 2026 43 claims in force

Release date
11 Mar 2026
Openness
open-weights
License
Apache-2.0
Architecture
Gemma4ForConditionalGeneration
Parameters
25.8B
Active parameters
4B
Context window
262.1K tokens
Max output
32.8K tokens
Modalities
image, text, video
Input modalities
image, text, video
Output modalities
text
Tokenizer
Gemma
Base model
google/gemma-4-26B-A4B
File size
51.6 GB
Hugging Face repo
google/gemma-4-26B-A4B-it
Pipeline tag
image-text-to-text
Downloads
8,983,063
Likes
1,489
Aa context window
256,000
Aa openness
open-weights
Commercial use allowed
Yes
Derivatives allowed
Yes
Gated
No
Hf inference providers
deepinfra, featherless-ai, novita, scaleway
Last modified
2026-07-20T16:42:12+00:00
Library name
transformers
License url
https://ai.google.dev/gemma/docs/gemma_4_license
Aa median output tokens per second
75.4
Downloads all time
58,013,646
Model type
gemma4
Openrouter id
google/gemma-4-26b-a4b-it
Openrouter listed at
3 Apr 2026
Reasoning
Yes
Redistribution allowed
Yes
Structured output
Yes
Supported parameters
frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Tags
transformers, safetensors, gemma4, image-text-to-text
Tool calling
Yes
Vision
Yes
Weights available
Yes
Weights dtype
BF16
42 claims · 35 properties

Release daterelease_date6

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11 Mar 2026currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
3 Apr 2026supersededOpenRouter public model & pricing listingT2mediumdeterministic
11 Mar 2026supersededHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
3 Apr 2026supersededOpenRouter public model & pricing listingT2mediumdeterministic
11 Mar 2026supersededHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
3 Apr 2026supersededOpenRouter public model & pricing listingT2mediumdeterministic

Opennessopenness1

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open-weightscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

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apache-2.0currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

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Gemma4ForConditionalGenerationcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

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25.8BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Active parametersactive_parameter_count1

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4BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Context windowcontext_length3

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ValueValid from → toStatusSourceConfidenceExtractor
262.1K tokenscurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic
256K tokenssupersededArtificial AnalysisT2mediumdeterministic
262.1K tokenssupersededOpenRouter public model & pricing listingT2mediumdeterministic

Max outputmax_output_tokens1

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32.8K tokenscurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Modalitiesmodalities1

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image, text, videocurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Input modalitiesmodalities_input1

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image, text, videocurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Output modalitiesmodalities_output1

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textcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Tokenizertokenizer1

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GemmacurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Base modelbase_model1

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google/gemma-4-26B-A4BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

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51.6 GBcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

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google/gemma-4-26B-A4B-itcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Pipeline tagpipeline_tag1

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image-text-to-textcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

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https://huggingface.co/google/gemma-4-26B-A4B-itcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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8,983,063currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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1,489currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Descriptiondescription1

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Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Gatedgated1

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NocurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hf inference providershf_inference_providers1

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deepinfra, featherless-ai, novita, scalewaycurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

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2026-07-20T16:42:12+00:00currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

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transformerscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License urllicense_url1

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https://ai.google.dev/gemma/docs/gemma_4_licensecurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloads all timemetric.downloads_all_time1

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58,013,646currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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gemma4currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Openrouter idopenrouter_id1

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google/gemma-4-26b-a4b-itcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Reasoningreasoning1

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YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Structured outputstructured_output1

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YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Supported parameterssupported_parameters1

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frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_pcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Tagstags1

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transformers, safetensors, gemma4, image-text-to-textcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tool callingtool_calling1

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YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Visionvision1

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YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Weights dtypeweights_dtype1

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BF16currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

35

Source tiers

T235

Freshest observation

6 h ago

Conflicts

None

Source documents 7

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/google/gemma-4-26B-A4B-it/raw/main/README.md model_cardT2· Quality secondary5 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/unsloth/gemma-4-26B-A4B-it-GGUF model_pageT2· Quality secondary6 h ago4
Hugging Face Hub (public pages, model cards, papers)huggingface.co/nvidia/Gemma-4-26B-A4B-NVFP4 model_pageT2· Quality secondary6 h ago4
Hugging Face Hub (public pages, model cards, papers)huggingface.co/google/gemma-4-26B-A4B-it model_pageT2· Quality secondary6 h ago4
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=google&p=0&sort=downloads listingT2· Quality secondary6 h ago6
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary8 h ago4
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary10 h ago1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (65/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →