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Gemini 3.5 Flash Lite

API ID gemini-3.5-flash-lite

gemini-3.5-flash-lite is a Google model, released July 2026. It has a 1,048,576-token context window and up to 65,536 output tokens. It takes image and PDF input and supports function calling, structured outputs and reasoning. Standard price: $0.30 input and $2.50 output per 1M tokens.

Gemini 3.5 Flash Lite

Google's description
Status
Active
Released
July 2026
Shutdown
none announced
Replacement
—

No deprecation or shutdown date has been announced as of October 15, 2026.

Free tier: in place when tracking began (October 7, 2026) (source) · All free models

Benchmarks

Scores as each source published them
or

Comparing with Gemini 3.1 Flash Lite, the previous model in this line. A score is compared only with the same benchmark from the same source, at the same setting where both have it. Full comparison: prices, limits, features

Arena

ArenaGemini 3.5 Flash LiteGemini 3.1 Flash LiteChangeRankDateSource
Text
By category
  • Math 1442 rank 90 vs not rated
  • Creative writing 1436 rank 64 vs not rated
  • Instruction following 1443 rank 78 vs not rated
  • Hard prompts 1475 rank 76 vs not rated
  • Long prompts 1463 rank 73 vs not rated
  • Multi-turn 1466 rank 68 vs not rated
  • Expert 1471 rank 90 vs not rated
1455 ±4not rated72 of 415
35,845 votes		Oct 13, 2026source
Text: Coding1501 ±7not rated74 of 410
9,919 votes		Oct 13, 2026source
WebDev1440 ±41not rated74 of 142
242 votes		Oct 13, 2026source
Vision1266 ±8not rated40 of 165
8,381 votes		Oct 9, 2026source

Rated as gemini-3.5-flash-lite. Ratings come from people voting between two anonymous answers; Text and Vision are style-controlled, as on arena.ai. Data: Arena (arena.ai), CC BY 4.0.

Epoch AI

BenchmarkGemini 3.5 Flash LiteGemini 3.1 Flash LiteChangeSettingRunSource
FrontierMath Tier 40.0%not runhigh effortAug 2, 2026source
FrontierMath Tiers 1-326.0%27.7%−1.7 ptshigh effortAug 2, 2026source
GPQA Diamond
Other settings
  • 75.8% vs 74.2% low effort
  • 74.2% vs 73.7% minimal effort
83.3%81.8%+1.5 ptshigh effortAug 6, 2026source
OTIS Mock AIME 2024-2025
Other settings
  • 60.0% vs 44.4% low effort
  • 51.1% vs 37.8% minimal effort
71.1%80.0%−8.9 ptshigh effortAug 6, 2026source

Run independently by Epoch AI. Data: Epoch AI, Capabilities & benchmarking (epoch.ai/benchmarks), CC BY.

On cloud platforms

All platform dates
PlatformPlatform IDStateShutdownTime leftReplacementSource
Google Cloud Vertex AIgemini-3.5-flash-liteActivenot before Jul 21, 2027—source

Read daily from each platform's own pages. The shutdown date and countdown on this page use Google's own date.

Features

Compare models
FeatureValueSinceSource
Structured outputsThe model can be held to a JSON schema you supply, so every reply parses without retries or cleanup.Supportedin place when tracking began (October 6, 2026)source
Function callingAlso called tool use. You describe functions; the model replies with a function name and arguments for your code to run, then uses the result.Supportedin place when tracking began (October 6, 2026)source
Prompt cachingA prompt prefix you send again and again (system prompt, documents, tools) is cached, so later requests cost less and start faster.Supportedin place when tracking began (October 6, 2026)source
Batch APISend many requests as one job that runs in the background, usually finished within 24 hours, at a lower price than live requests.Supportedin place when tracking began (October 6, 2026)source
Image inputImages such as screenshots, photos and charts can go in the prompt for the model to read.Supportedin place when tracking began (October 6, 2026)source
PDF inputPDF files can go in the prompt directly, without converting them to text first.Supportedin place when tracking began (October 6, 2026)source
Reasoning / thinkingThe model can work through a problem step by step before it answers: usually better answers to hard questions, at the cost of more tokens and time.Supportedin place when tracking began (October 6, 2026)source
Built-in web searchThe company's API can search the web for the model during a request and cite its sources; you don't need a search service of your own.Supportedin place when tracking began (October 6, 2026)source
Context windowThe most the model can work with in one request, in tokens: your prompt, conversation history and files. A token is about three-quarters of an English word.1,048,576 tokensin place when tracking began (October 6, 2026)source
Max output tokensThe longest reply the model can write in one response, in tokens. A token is about three-quarters of an English word.65,536 tokensin place when tracking began (October 6, 2026)source

Not published by Google: Fine-tuning, temperature parameter, top_p parameter, logprobs.

Price history

USD per 1M tokens, standard tier
$0.00$1.00$2.00$3.00Oct 2026In $0.30Out $2.50Oct 1, 2026 to Oct 15, 2026: Input $0.30, Output $2.50
$0.00$1.00$2.00$3.00Oct 2026In $0.30Out $2.50Oct 1, 2026 to Oct 15, 2026: Input $0.30, Output $2.50

We started recording this model's prices on Oct 1, 2026. The history grows with each daily check.

Show as a table
FromTypePrice
Oct 1, 2026Input$0.30
Oct 1, 2026Output$2.50

Prices

USD per 1M tokens, every type and band, by tier
TypeModalityPrice $/1MIn effect
Standard
inputtext/image/video/audio$0.30
cached input—$0.03
output—$2.50
cache storage per hour—$1.00
Batch
inputtext/image/video/audio$0.15
cached input—$0.02
output—$1.25
cache storage per hour—$1.00
Flex
inputtext/image/video/audio$0.15
cached input—$0.02
output—$1.25
cache storage per hour—$1.00
Priority
inputtext/image/video/audio$0.54
cached input—$0.05
output—$4.50
cache storage per hour—$1.00

Changelog

Changes we detected on Google's pages

No changes recorded yet.

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Last checked · Sources: Google deprecations, Google pricing, Google models, Google aliases, Google api models