Google's Gemini 3.1 Flash Lite. Optimized for high-volume, cost-efficient reasoning and multimodal workloads.
Added Mar 3, 2026
Context Window
1.0M
Max Output
65.5K
Avg output tokens (7d)
650 tokens
Input Price (Auto)
$0.25/1M
Output Price (Auto)
$1.50/1M
Cache Read (Auto)
$0.025/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
16.0
Coding Index
34.7
Agentic Index
3.2
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
6.8%
Better than 37% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
226 Elo
Better than 14% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
596 Elo
Better than 26% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
7.8%
Better than 38% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
74.3%
Better than 76% of models compared
Reasoning
HLE
Humanity's Last Exam
17.2%
Better than 68% of models compared
IFBench
Instruction-following benchmark
77.2%
Better than 96% of models compared
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
0.5%
Better than 39% of models compared
SciCode
Python programming for scientific computing
43.4%
Better than 38% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
82.2%
Better than 70% of models compared
Terminal-Bench Hard (legacy)
Agentic coding and terminal use
24.2%
Better than 64% of models compared
T²-Bench Telecom (legacy)
Conversational AI agents in dual-control scenarios
31.3%
Better than 38% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
74.3%
Better than 76% of models compared
Last updated Sep 13, 2026
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