Gemma 3 27B IT
Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions.
- Native PDF input
Pricing
Auto routing · per 1M tokens- Input
- $0.30
- Output
- $0.30
Specifications
- Context window
- 128K
- Max output
- 96K
- Parameters
- 27B
- Avg output (7d)
- 264 tokens
- Longer than 22% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
4.9
Coding Index
10.1
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
0.2%
Better than 1% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
0 Elo
Better than 3% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
-405 Elo
Better than 1% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
0.2%
Better than 1% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
7.3%
Better than 14% of models compared
Reasoning
HLE
Humanity's Last Exam
4.4%
Better than 20% 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 16% 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 14% of models compared
Last updated Oct 3, 2026
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