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
Avg output tokens (7d)
214 tokens
Input Price (Auto)
$0.30/1M
Output Price (Auto)
$0.30/1M
Cache Read (Auto)
$0.15/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
4.9
Coding Index
10.1
Agentic Index
0.1
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
0.2%
Better than 2% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
-171 Elo
Better than 0% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
0.2%
Better than 3% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
7.3%
Better than 15% of models compared
Reasoning
HLE
Humanity's Last Exam
4.4%
Better than 21% of models compared
IFBench
Instruction-following benchmark
31.8%
Better than 18% of models compared
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
0.0%
Better than 17% of models compared
SciCode
Python programming for scientific computing
23.3%
Better than 4% of models compared
LiveCodeBench
Contamination-free coding benchmark
13.7%
Better than 13% of models compared
Math
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
Math-500
Diverse mathematical problem solving benchmark
88.3%
Better than 59% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
66.9%
Better than 29% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
42.8%
Better than 18% of models compared
Terminal-Bench Hard (legacy)
Agentic coding and terminal use
3.8%
Better than 26% of models compared
T²-Bench Telecom (legacy)
Conversational AI agents in dual-control scenarios
10.5%
Better than 7% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
7.3%
Better than 15% of models compared
Last updated Sep 13, 2026
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