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Gemma 4 26B A4B

google/gemma-4-26b-a4b-it
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Gemma 4 26B A4B

google/gemma-4-26b-a4b-it

Google's Gemma 4 26B A4B instruction-tuned model built for scalable reasoning, coding, long-context, and multimodal workflows. This route is tuned for faster direct answers while preserving multimodal and structured output support. Requests containing video cost $0.10 per million input tokens and $0.40 per million output tokens.

Added Apr 2, 2026

Model weights

Context Window

262.1K

Max Output

131.1K

Avg output tokens (7d)

177 tokens

13%

Input Price (Auto)

$0.090/1M

Output Price (Auto)

$0.30/1M

Cache Read (Auto)

$0.050/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

16.7

Better than 62% of models compared

Coding Index

39.3

Better than 46% of models compared

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

43.6%

Better than 48% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

713 Elo

Better than 33% of models compared

Document reasoning

AA-LCR v1.1

Long context reasoning with updated grading

65.7%

Better than 61% of models compared

Reasoning

HLE

Humanity's Last Exam

19.3%

Better than 70% of models compared

IFBench

Instruction-following benchmark

72.4%

Better than 89% of models compared

CritPt

Research-level physics reasoning

0.0%

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

13.6%

Better than 51% of models compared

Knowledge

AA-Omniscience Accuracy

Proportion of correctly answered questions

15.5%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

92.1%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

79.2%

Better than 66% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

65.7%

Better than 61% of models compared

Last updated Sep 13, 2026

Artificial Analysis

Providers

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