Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions.
Context Window
128.0K
Max Output
96.0K
Input Price (Auto)
$0.30/1M
Output Price (Auto)
$0.30/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
10.3
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Coding Index
9.6
Agentic Index
3.5
GPQA Diamond
Graduate-level scientific reasoning
42.8%
Better than 25% of models compared
HLE
Humanity's Last Exam
4.7%
Better than 34% of models compared
IFBench
Instruction-following benchmark
31.8%
Better than 22% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
10.5%
Better than 9% of models compared
AA-LCR
Long context reasoning evaluation
5.7%
Better than 19% of models compared
GDPval-AA
Economically valuable tasks
0.0%
Better than 18% of models compared
CritPt
Research-level physics reasoning
0.0%
Better than 36% of models compared
SciCode
Python programming for scientific computing
21.2%
Better than 27% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
3.8%
Better than 28% of models compared
AIME 2025
American Invitational Mathematics Examination 2025
20.7%
Better than 22% of models compared
AIME
American Invitational Mathematics Examination
25.3%
Better than 52% of models compared
MMLU-Pro
Professional and academic subject knowledge
66.9%
Better than 29% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
12.5%
Better than 23% of models compared
Last updated May 15, 2026
Artificial AnalysisLiveCodeBench
Contamination-free coding benchmark
13.7%
Better than 13% of models compared
Math-500
Diverse mathematical problem solving benchmark
88.3%
Better than 59% of models compared
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
89.5%
Better than 19% of models compared
