Private AI
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.
Added Apr 2, 2026
Model weightsContext Window
262.1K
Max Output
131.1K
Avg output tokens (7d)
398 tokens
Input Price (Auto)
$0.13/1M
Output Price (Auto)
$0.42/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
25.7
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Coding Index
39.3
GPQA Diamond
Graduate-level scientific reasoning
79.2%
Better than 75% of models compared
HLE
Humanity's Last Exam
18.3%
Better than 81% of models compared
IFBench
Instruction-following benchmark
72.4%
Better than 89% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
43.6%
Better than 49% of models compared
AA-LCR
Long context reasoning evaluation
55.7%
Better than 70% of models compared
SciCode
Python programming for scientific computing
40.0%
Better than 78% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
13.6%
Last updated Jun 25, 2026
Artificial AnalysisBetter than 52% of models compared
