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
8.2K
Avg output tokens (7d)
151 tokens
Input Price (Auto)
$0.20/1M
Output Price (Auto)
$0.20/1M
Cache Read (Auto)
$0.10/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
4.8
Coding Index
2.7
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
5.0%
Better than 6% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
6.7%
Better than 14% of models compared
Reasoning
HLE
Humanity's Last Exam
5.3%
Better than 34% of models compared
IFBench
Instruction-following benchmark
28.3%
Better than 12% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
0.8%
Better than 13% of models compared
LiveCodeBench
Contamination-free coding benchmark
11.2%
Better than 9% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
12.7%
Better than 15% of models compared
AIME
American Invitational Mathematics Examination
6.3%
Better than 22% of models compared
Math-500
Diverse mathematical problem solving benchmark
76.6%
Better than 39% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
41.7%
Better than 9% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
29.1%
Better than 5% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
6.7%
Better than 14% of models compared
Last updated Sep 13, 2026
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