LLM ReferenceLLM Reference

Gemini 3.1 Flash Lite Preview

gemini-3.1-flash-lite-preview

DeprecatedResearched 4d ago

Last refreshed 2026-05-14. Next refresh: weekly.

MultimodalCodingRAGAgentsLong contextVisionJSON / Tool use

Gemini 3.1 Flash Lite Preview is a legacy integration reference; evaluate Gemini 3.1 Flash-Lite before starting new work.

Decision context: Agents task fit, 3 tracked provider routes, and research from 2026-05-14.

Use it for

  • Teams maintaining an existing integration
  • Workloads that can use a 1M context window
  • Buyers comparing 3 tracked provider routes

Do not use it for

  • New production launches

Cheapest output

$1.50

GCP Vertex AI per 1M tokens

Provider routes

3

Tracked API hosts

Quality / dollar

Unknown

No output-token price in the ladder

Freshness

2026-05-14

Researched 4d ago

fresh

This API model is marked deprecated. Use Gemini 3.1 Flash-Lite as the replacement candidate before sending new production traffic.

Top use-case fit

Coding

Included by capability and metadata signals in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

1 relevant benchmark in the decision map.

Provider price ladder

ProviderInput / 1MOutput / 1MRoute
GCP Vertex AI$0.250$1.50
Serverless
Google AI Studio$0.250$1.50
Serverless
OpenRouter$0.250$1.50
Serverless

Benchmark peer barsfor Agents

Migration checks

No linked migration route is available for this model yet.

About

Preview-stage Gemini 3.1 Flash-Lite model deprecated on 2026-05-11 with shutdown on 2026-05-25; use gemini-3.1-flash-lite GA instead.

Gemini 3.1 Flash Lite Preview has a 1M-token context window.

Gemini 3.1 Flash Lite Preview input tokens at $0.25/1M, output at $1.5/1M.

Capabilities

VisionMultimodalFunction CallingTool UseStructured OutputsCode Execution

Benchmark Scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
MultiChallenge60.6MultiChallengehttps://labs.scale.com/leaderboard/multichallenge

Rankings

Specifications

Released2026-03-03
Context1M
ArchitectureDecoder Only
Knowledge cutoff2025-01
Specializationgeneral
LicenseProprietary
Trainingpretrained

Created by

Pioneering artificial intelligence research.

London, United Kingdom
Founded 2014
Website