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)
473 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
19.3
Coding Index
34.7
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
82.2%
Better than 70% of models compared
HLE
Humanity's Last Exam
17.2%
Better than 69% of models compared
IFBench
Instruction-following benchmark
77.2%
Better than 96% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
31.3%
Better than 38% of models compared
AA-LCR
Long context reasoning evaluation
74.3%
Better than 76% of models compared
Coding
SciCode
Python programming for scientific computing
43.4%
Better than 31% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
24.2%
Better than 64% of models compared
Last updated Sep 7, 2026
Artificial AnalysisProviders
Auto routing is available for this model. Explicit provider selection is not available.
Loading provider options…
Related text models
Compare Gemini 3.1 Flash Lite with similar models from the same provider or model family.
Gemini 3.5 Flash Lite
google/gemini-3.5-flash-liteGoogle's cost-efficient Gemini 3.5 Flash Lite model for high-volume multimodal reasoning, tool use, and structured-output workloads.
Gemini Flash Lite Latest
google/gemini-flash-lite-latestCompatibility alias that routes to the newest version of Gemini Flash Lite. Currently routes to Gemini 3.5 Flash Lite.
Gemini 3.8 Flash
google/gemini-3.8-flashGoogle's fast multimodal model for agentic workloads, including coding, tool use, image understanding, PDF and document extraction, audio, and video. Its capabilities, limits, reasoning behavior, and pricing currently mirror Gemini 3.7 Flash.
Gemini 3.7 Flash
google/gemini-3.7-flashGoogle's frontier-performance Flash model for multimodal and agentic workloads, including coding, tool use, image understanding, PDF and document extraction, audio, and video. Google reports 65.3% on DeepSWE v1.1, up from 49.0% for Gemini 3.6 Flash, and 34% on GDP.pdf, up from 14%.
Gemini 3.6 Flash
google/gemini-3.6-flashGoogle's GA Flash model delivers near-Pro coding and agentic capability at Flash-tier speed and cost, with improved token efficiency over Gemini 3.5 Flash. It is optimized for multi-step orchestration, full-stack code refactoring, general reasoning, and multimodal workflows.
Gemini 3.5 Flash
google/gemini-3.5-flashGoogle's speed-focused Gemini Flash model for frontier multimodal intelligence across text, images, audio, video, PDFs, and code. Built for agentic coding, reliable tool use, structured outputs, and long-context workflows.