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Gemini 3.1 Flash Lite

Google's Gemini 3.1 Flash Lite. Optimized for high-volume, cost-efficient reasoning and multimodal workloads.

  • Reasoning
  • Vision
  • Audio Input
  • Video Input
  • Native PDF input
  • Tool Calling
  • Structured Output

Added Mar 3, 2026

Pricing

Auto routing · per 1M tokens
Input
$0.25
Output
$1.50
Cache read
$0.025
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Specifications

Context window
1M
Max output
65.5K
Avg output (7d)
662 tokens
Longer than 59% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

15.6

Better than 60% of models compared

Coding Index

34.7

Better than 40% of models compared

Agentic Index

1.6

Better than 25% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

6.8%

Better than 29% of models compared

AutomationBench-AA Tasks Completed

Fully completed workflows without guardrail violations

0.5%

Better than 27% of models compared

AA-Briefcase v1.1

Agentic knowledge work (Elo)

207 Elo

Better than 11% of models compared

GDPval-AA v2.1

Economically valuable tasks (Elo)

430 Elo

Better than 21% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

7.8%

Better than 34% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

74.3%

Better than 71% of models compared

MLCR-AA

Medical long-context reasoning

5.0%

Better than 13% of models compared

Reasoning

HLE

Humanity's Last Exam

17.2%

Better than 63% 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 34% of models compared

SciCode

Python programming for scientific computing

43.4%

Better than 33% 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 71% of models compared

Last updated Oct 23, 2026

Artificial Analysis

Providers

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Reliability

Last 3 days