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Gemini 3.1 Flash-Lite

Gemini 3.1 Flash Lite outperforms 2.5 Flash Lite on overall quality and lands close to 2.5 Flash performance across key capability areas.

text + image + file → text · made by Google

$0.25→$1.5per Mtok in / out
AtlasCloud · 10 sellers

Free

Offered at no charge, which is not the same as cheap: a free lane carries a rate limit and can be withdrawn. The prices above are what you pay when it is not available to you.

Sold by 30 ways

SellerLaneRate
Google apifree$0per Mtok in$0per Mtok outai.google.dev · read 2026-10-31
Google 0 ways$0.12per Mtok in$0.75per Mtok out$0.013per Mtok cached
Google apinot on the seller's list todaybatch$0.12per Mtok in$0.75per Mtok out$0.013per Mtok cachedai.google.dev · read 2026-08-24
Google Vertex AI cloudbatch$0.12per Mtok in$0.75per Mtok out$0.013per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Google Vertex AI cloudflex$0.12per Mtok in$0.75per Mtok outraw.githubusercontent.com · read 2026-10-31
Databricks cloudstandard$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cached$0.31per Mtok cache write$0.63per Mtok in, audiomodels.dev · read 2026-10-31
Google 0 ways$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cached
Google apinot on the seller's list todaystandard$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cachedai.google.dev · read 2026-08-24
Google Vertex AI cloudstandard$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cached$0.5per Mtok in, audio$1.5per Mtok out, reasoningmodels.dev · read 2026-10-31
Google Vertex AI cloudpriority$0.45per Mtok in$2.7per Mtok out$0.045per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Databricks cloudpriority$0.56per Mtok in$3.37per Mtok out$0.056per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Requesty 2 ways$0.11per Mtok in$0.68per Mtok out$0.011per Mtok cached
Requesty aggregatornot on the seller's list todaygoogle flex$0.11per Mtok in$0.68per Mtok out$0.011per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayvertex flex$0.11per Mtok in$0.68per Mtok out$0.011per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayvertex eu$0.25per Mtok in$1.49per Mtok out$0.025per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayvertex us$0.25per Mtok in$1.49per Mtok out$0.025per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatorgoogle$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cachedrouter.requesty.ai · read 2026-10-06
Requesty aggregatorvertex$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cachedrouter.requesty.ai · read 2026-10-09
Nous Research 3 ways$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cached$0.083per Mtok cache write
Nous Research aggregatorbatch$0.12per Mtok in$0.75per Mtok out$0.013per Mtok cachedinference-api.nousresearch.com · read 2026-09-12
Nous Research aggregatorstandard$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cached$0.083per Mtok cache writeinference-api.nousresearch.com · read 2026-09-12
Nous Research aggregatorpreview$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cached$0.083per Mtok cache writeinference-api.nousresearch.com · read 2026-09-12
OpenRouter 7 ways$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cached$0.083per Mtok cache write
OpenRouter aggregatorbatch$0.12per Mtok in$0.75per Mtok out$0.013per Mtok cachedopenrouter.ai · read 2026-08-24
OpenRouter aggregatorgoogle-ai-studio/flex$0.12per Mtok in$0.75per Mtok out$0.013per Mtok cached$0.042per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatornot on the seller's list todaygoogle-vertex/global/flex$0.12per Mtok in$0.75per Mtok out$0.013per Mtok cached$0.042per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorstandard$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cached$0.083per Mtok cache writeopenrouter.ai · read 2026-08-24
OpenRouter aggregatorgoogle-vertex/eu$0.28per Mtok in$1.65per Mtok out$0.028per Mtok cached$0.083per Mtok cache writeopenrouter.ai · read 2026-08-27
OpenRouter aggregatorgoogle-vertex/us$0.28per Mtok in$1.65per Mtok out$0.028per Mtok cached$0.083per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-ai-studio/priority$0.45per Mtok in$2.7per Mtok out$0.045per Mtok cached$0.15per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/global/priority$0.45per Mtok in$2.7per Mtok out$0.045per Mtok cached$0.15per Mtok cache writeopenrouter.ai · read 2026-08-25
AtlasCloud aggregatorstandard$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cachedapi.atlascloud.ai · read 2026-09-20
DeepInfra aggregatorstandard$0.25per Mtok in$1.5per Mtok outapi.deepinfra.com · read 2026-08-25
Inference.net aggregatorstandard$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cachedapi.inference.net · read 2026-10-31
Vercel AI Gateway aggregatorstandard$0.25per Mtok in$1.5per Mtok out$0.03per Mtok cachedai-gateway.vercel.sh · read 2026-08-25

Measured 28 standings

PlaceBoardMetricScore
32ndof 46Enigma eval — Epoch AIAccuracy3.04
35thof 56Humanity's Last Exam (Epoch AI replication)Accuracy8.64
37thof 41Deepresearchbench — Epoch AIAverage score (low)0.373
42ndof 111Vectara Hallucination LeaderboardHallucination Rate8.2
50thof 93Design Arena · asciiart (models)Elo1164
54thof 92Forecastbench — Epoch AIOverall score62.8
70thof 165LMArena · VisionScore (Elo)1235
70thof 173Weirdml — Epoch AIAccuracy52.19
79thof 132Ale bench — Epoch AIPerformance797.73
81stof 122Frontiermath tiers 1 3 v2 — Epoch AImean_score (high)27.719
101stof 114Design Arena · svg (models)Elo1049
109thof 131Artificial Analysis · Agentic IndexIndex1.6
109thof 414LMArena · TextScore (Elo)1433
117thof 163Artificial Analysis · Coding IndexIndex34.7
122ndof 306OTIS Mock AIME 2024-2025mean_score (high)80
124thof 135Webdev arena — Epoch AIArena Score1254.27
125thof 150Design Arena · 3d (models)Elo1045
126thof 326GPQA Diamondmean_score (high)81.818
126thof 141LMArena · WebDevScore (Elo)1256
127thof 197Lmca — Epoch AIScore (high)35.01
131stof 157Design Arena · uicomponent (models)Elo1066
134thof 154Design Arena · dataviz (models)Elo1045
137thof 163Design Arena · codecategories (models)Elo1070
139thof 169Design Arena · website (models)Elo1081
143rdof 162Design Arena · gamedev (models)Elo1029
147thof 235Dtbench — Epoch AIAccuracy (high)76.8
161stof 235Scicode — Epoch AIScore43.403
170thof 260Critpt — Epoch AIAccuracy1.143

About

Gemini 3.1 Flash-Lite — a text model from Google, sold by 10 companies from $0.25 in and $1.5 out per million tokens, placed 109th of 414 on LMArena · Text.

It takes text, images and files and returns text, with a context window of 1,048,576 tokens. It was published in March 2025, trained on material up to January 2025. Its sellers say it can reason step by step and call a tool. The catalogue files it under translate, extract, reasoning, code and agents. Ten companies sell it. The cheapest is $0.25 in and $1.5 out per million tokens at AtlasCloud. Beside the standard rate there are faster, separately routed, batch, flex and regional lanes. It has been measured on 28 boards, and stands best at 109th of 414 on LMArena · Text.

Every current figure

Maker
Google
Register
model
Takes
text + image + file
Returns
text
Context
1,048,576 tokens
Published
March 2025
Knowledge to
January 2025
Licence
not read
Sellers
10
Price
$0.25 in and $1.5 out per million tokens — AtlasCloud
Boards
28
Best place
109th of 414 — LMArena · Text

Known as 12 names

google/gemini-3.1-flash-litegemini-3.1-flash-litegoogle/gemini-3.1-flash-lite-previewgoogle/gemini-3.1-flash-lite:batchgoogle/gemini-3.1-flash-lite:flexvertex/gemini-3.1-flash-litevertex/gemini-3.1-flash-lite:flexvertex/gemini-3.1-flash-lite@euvertex/gemini-3.1-flash-lite@usgoogle/gemini-3.1-flash-lite-batchGoogle: Gemini 3.1 Flash Lite (batch)Google: Gemini 3.1 Flash Lite Preview