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VENICE ATLAS · MODEL DOSSIER · GOOGLE GEMMA 4 26B A4B INSTRUCT

Model overview

Google Gemma 4 26B A4B Instruct

Gemma 4 26B A4B is a Mixture-of-Experts model from Google DeepMind with 26B total parameters and only 4B active per token, offering fast inference at high quality. It handles text, image, and video input, supports 256K context, function calling, and reasoning with configurable thinking modes.

google-gemma-4-26b-a4b-it · venice.ai
Text · Venice catalog$0.13 per 1M tokensPrice on Venice AI
ModalityTextOn Venice AI
Primary price$0.13 per 1M tokensper 1M tokens
Context window256KMax tokens
Benchmarks12Benchmark results

Benchmark results

See the tests behind each score. They use the benchmark’s original scoring scale.

Agents1 result
t2-bencht2-bench · agents
85.5%
ReportedOct 2026
Healthcare1 result
MedXpertQAmedxpertqa · healthcare
58.1%
ReportedOct 2026
Language2 results
MMLU-Prommlu-pro · language
82.6%
ReportedOct 2026
MMMLUmmmlu · language
86.3%
ReportedOct 2026
Long Context1 result
MRCR v2 (8-needle)mrcr-v2-(8-needle) · long_context
44.1%
ReportedOct 2026
Math2 results
AIME 2026aime-2026 · math
88.3%
ReportedOct 2026
MathVisionmathvision · math
82.4%
ReportedOct 2026
Reasoning4 results
BIG-Bench Extra Hardbig-bench-extra-hard · reasoning
64.8%
ReportedOct 2026
GPQAgpqa · reasoning
82.3%
ReportedOct 2026
Humanity's Last Examhumanity's-last-exam · reasoning
17.2%
ReportedOct 2026
LiveCodeBench v6livecodebench-v6 · reasoning
77.1%
ReportedOct 2026
Vision1 result
MMMU-Prommmu-pro · vision
73.8%
ReportedOct 2026

Learn what each benchmark measures ↗

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