Google DeepMind

Gemma 4 26B A4B

Tool callingStructured outputReasoningImage input
Gemma 4 26B A4B launch post cover

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

Context
262K
Released
6mo ago
Parameters
32.7B
Input / 1M tokens
$0.09
Output / 1M tokens
$0.30
Cached input / 1M tokens
$0.05

Sources:models.devOpenRouter

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

Other published benchmarks

EvaluationReported score and source
GPQA diamond
73.2%
Epoch AI · gemma-4-26b-a4b-it_minimal
Reasoning effort: minimal
Epoch AI evaluation
OTIS Mock AIME 2024-2025
82.2%
Epoch AI · gemma-4-26b-a4b-it_minimal
Reasoning effort: minimal
Epoch AI evaluation

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Specifications

Model family
Gemma
Type
Language model
Predecessor
—
Successor
—
Released
April 2, 2026
Model ID
google/gemma-4-26b-a4b-it
Openness
Open weights
License
—
Parameters
32.7B
Architecture
gemma4
Families
gemma4
Input modalities
image, text, video
Output modalities
text
Modality
text+image+video->text
Native context
262K
Tokenizer
Gemma
Max output tokens
236K
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
Source model
google/gemma-4-26b-a4b-it
Source family
gemma
Last updated
2026-04-02
Model context
262K
Model output limit
33K
Open weights
Yes
File attachments
Yes
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature control
Yes

Downloadable weights

Complete source record (JSON)
{
  "id": "google/gemma-4-26b-a4b-it",
  "name": "Gemma 4 26B A4B IT",
  "description": "Open Gemma instruction model for efficient chat and self-hosted deployments",
  "family": "gemma",
  "last_updated": "2026-04-02",
  "attachment": true,
  "reasoning": true,
  "tool_call": true,
  "structured_output": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text",
      "image"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 262144,
    "output": 32768
  },
  "release_date": "2026-04-02",
  "open_weights": true,
  "weights": [
    {
      "label": "Hugging Face",
      "url": "https://huggingface.co/google/gemma-4-26B-A4B-it"
    }
  ]
}

Infrastructure

Provider availability

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
Darkbloomdarkbloom131K$0.04$0.22$0.02—97.82%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

DekaLLMdekallm/bf16262K$0.06$0.33$0.04—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

DeepInfradeepinfra/fp8262K$0.07$0.34——100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

NextBitnextbit/bf16262K$0.09$0.30$0.05—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Cloudflarecloudflare256K$0.10$0.30$0.05—100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

CoreWeavecoreweave/bf16262K$0.10$0.30$0.05—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Makoramakora256K$0.10$0.28$0.05—99.86%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Io Netio-net/bf16262K$0.11$0.32$0.04—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Novitanovita/bf16262K$0.13$0.40——100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Parasailparasail/bf16262K$0.13$0.40$0.05—99.44%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Venicevenice/bf16256K$0.13$0.40$0.05—99.72%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

SiliconFlowsiliconflow/fp8262K$0.14$0.40$0.05—94.74%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/global262K$0.15$0.60——87.80%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Text provenance

Gemini app/web

Google SynthID text watermarking

Google DeepMind says text generated in the Gemini app and web experience is watermarked with SynthID by adjusting token probabilities.

Official explanation

Deployment graph

Can I run this?

Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.

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