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Gemini 3.5 Flash-Lite

ActiveGooglegoogle/gemini-3-5-flash-lite2 platforms

No shutdown before this date. Gemini 3.5 Flash-Lite stays on Google Vertex AI until at least Jul 21, 2027.

≥ 9 mo
Earliest retirement
≥ 280 daysJul 21, 2027 · Google Vertex AI
Arena Text
1,455#38 of 128 · Arena
GPQA Diamond
83.3%#56 of 108 · Epoch AI
List price · $ per 1M
$0.30 in $2.50 outGemini API · cached input $0.03
Context window
1MMax output 65.5K tokens

Dates on every platform

2 listings · a floor is the earliest possible date
Gemini 3.5 Flash-Lite on each platform: model ID, status, dates, replacement and source
PlatformModel ID and statusDeprecatedShuts downReplacement
Gemini APIGoogle: Gemini deprecations (opens in a new tab) · checked Oct 14, 2026gemini-3.5-flash-liteActive–None set–
Google Vertex AIGoogle Cloud: Model versions and lifecycle (opens in a new tab) · checked Oct 14, 2026gemini-3.5-flash-liteActive–Not sooner than–

What breaks when you move off Gemini 3.5 Flash-Lite

  • Parameters

    temperature, top_p and top_k are ignored. Google says later model generations will return an error.

    Gemini 3.6 Flash, Gemini 3.5 Flash-Lite · Gemini API ·

  • Parameters

    A request whose last non-empty turn is a model turn returns a 400 error.

    Gemini 3.6 Flash, Gemini 3.5 Flash-Lite · Gemini API ·

  • Parameters

    Custom temperature, top_p and top_k values are ignored.

    Gemini 3.6 Flash, Gemini 3.5 Flash-Lite · Gemini API, Google Vertex AI ·

  • Parameters

    On Agent Platform, custom frequency and presence penalty values return an API error.

    Gemini 3.6 Flash, Gemini 3.5 Flash-Lite · Gemini API, Google Vertex AI ·

  • Parameters

    A request whose last turn is a model turn returns an error.

    Gemini 3.6 Flash, Gemini 3.5 Flash-Lite · Gemini API, Google Vertex AI ·

  • Defaults

    Gemini 3.5 Flash-Lite defaults to the minimal thinking level; set medium or high for agent work.

    Gemini 3.6 Flash, Gemini 3.5 Flash-Lite · Gemini API, Google Vertex AI ·

Intelligence

Third-party results, credited below
Third-party benchmark scores for Gemini 3.5 Flash-Lite
BenchmarkPublisherScoreRankPublished
Arena TextArena1,455 ± 2#38 of 128Oct 8, 2026
GPQA DiamondEpoch AI83.3% ± 2.7%#56 of 108Aug 6, 2026
Arena WebDevArena1,440 ± 21#39 of 69Oct 8, 2026
FrontierMath Tier 4Epoch AI0.0% ± 0.0%#57 of 58Aug 2, 2026
FrontierMath Tiers 1-3Epoch AI26.0% ± 2.6%#59 of 71Aug 2, 2026
OTIS Mock AIME 2024-2025Epoch AI71.1% ± 6.8%#69 of 105Aug 6, 2026

Arena (arena.ai), https://arena.ai/leaderboard

Epoch AI, ‘Capabilities & benchmarking’. Published online at epoch.ai. Retrieved from ‘https://epoch.ai/benchmarks’ [online resource].

List prices

$ per 1M tokens, with each price’s source
List prices per 1M tokens, in US dollars
PlatformInputCachedOutputIn effectSource
Gemini APIgemini-3.5-flash-lite$0.30$0.03$2.50Jul 21, 2026CurrentGoogle: Gemini Developer API pricing (opens in a new tab)
Google Vertex AIgemini-3.5-flash-lite$0.30$0.03$2.50Jul 21, 2026Current · Global endpoint price; regional endpoints cost more.Google Cloud: Agent Platform pricing (opens in a new tab)

Change history

ShutdownGemini 3.1 Flash-Lite can shut down from May 7, 2027 on the Gemini APIGemini API

Google lists May 7, 2027 as the earliest shutdown date for gemini-3.1-flash-lite and recommends gemini-3.5-flash-lite.

Platform
Gemini API

Source: Google, Gemini deprecations (opens in a new tab)

API changeGemini deprecates temperature, top_p and top_kGemini API2 breaks

From Gemini 3.6 Flash and Gemini 3.5 Flash-Lite on, the Gemini API ignores sampling parameters and rejects prefilled model turns. The change applies to later Gemini models too.

Platform
Gemini API
  • Parameterstemperature, top_p and top_k are ignored. Google says later model generations will return an error.
  • ParametersA request whose last non-empty turn is a model turn returns a 400 error.

Source: Google, Gemini API release notes (opens in a new tab); Google, What's new in Gemini 3.6 Flash and 3.5 Flash-Lite (opens in a new tab)

ReleaseGemini 3.6 Flash and Gemini 3.5 Flash-Lite releasedGemini API, Google Vertex AI4 breaks

Google released Gemini 3.6 Flash and Gemini 3.5 Flash-Lite as generally available, with new rules for sampling parameters and model turns.

Platform
Gemini API, Google Vertex AI
  • ParametersCustom temperature, top_p and top_k values are ignored.
  • ParametersOn Agent Platform, custom frequency and presence penalty values return an API error.
  • ParametersA request whose last turn is a model turn returns an error.
  • DefaultsGemini 3.5 Flash-Lite defaults to the minimal thinking level; set medium or high for agent work.

Source: Google, Gemini API release notes (opens in a new tab); Google, What's new in Gemini 3.6 Flash and 3.5 Flash-Lite (opens in a new tab); Google Cloud, Gemini Enterprise Agent Platform release notes (opens in a new tab)

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