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
Context Window
262.1K
Max Output
131.1K
Input Price (Auto)
$0.13/1M
Output Price (Auto)
$0.42/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
31.2
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Coding Index
22.4
GPQA Diamond
Graduate-level scientific reasoning
79.2%
Better than 81% of models compared
HLE
Humanity's Last Exam
18.3%
Better than 87% of models compared
IFBench
Instruction-following benchmark
72.4%
Better than 93% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
43.6%
Better than 57% of models compared
AA-LCR
Long context reasoning evaluation
55.7%
Better than 74% of models compared
SciCode
Python programming for scientific computing
40.0%
Better than 83% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
13.6%
Better than 57% of models compared
Last updated May 15, 2026
Artificial Analysis
