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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
Databricks · 9 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Offered at no charge, which is not the same as cheap: a free lane carries a rate limit and can be withdrawn.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 28 ways

SellerLaneRate
Google apifree$0per Mtok in$0per Mtok outai.google.dev · read 2026-09-16
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 cachedcloud.google.com · read 2026-08-24
Google Vertex AI cloudflex$0.12per Mtok in$0.75per Mtok outraw.githubusercontent.com · read 2026-09-16
Databricks cloudstandard$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cached$0.31per Mtok cache writemodels.dev · read 2026-09-16
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, reasoningcloud.google.com · read 2026-08-24
Google Vertex AI cloudpriority$0.45per Mtok in$2.7per Mtok out$0.045per Mtok cachedraw.githubusercontent.com · read 2026-09-16
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 2026-09-16
Requesty aggregatorvertex$0.28per Mtok in$1.65per Mtok out$0.028per Mtok cachedrouter.requesty.ai · read 2026-09-12
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 8 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 aggregatorgoogle-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
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 2026-09-16
Vercel AI Gateway aggregatorstandard$0.25per Mtok in$1.5per Mtok out$0.03per Mtok cachedai-gateway.vercel.sh · read 2026-08-25

Measured 31 standings

PlaceBoardMetricScore
30thof 51Humanity's Last Exam (Epoch AI replication)Accuracy8.64
32ndof 46Enigma eval — Epoch AIAccuracy3.04
37thof 41Deepresearchbench — Epoch AIAverage score (low)0.373
40thof 105Vectara Hallucination LeaderboardHallucination Rate8.2
43rdof 92Design Arena · asciiart (models)Elo1185
49thof 65Apex agents — Epoch AIPass@1 score0.13
53rdof 123Lmca — Epoch AIScore (high)35.01
57thof 152LMArena · VisionScore (Elo)1235
60thof 112Ale bench — Epoch AIPerformance797.73
62ndof 222Chess puzzles — Epoch AImean_score (low)25
65thof 106Frontiermath tiers 1 3 v2 — Epoch AImean_score (high)27.719
67thof 170Weirdml — Epoch AIAccuracy52.19
75thof 81Forecastbench — Epoch AIOverall score54.4
76thof 161Dtbench — Epoch AIAccuracy (high)76.8
91stof 109Design Arena · svg (models)Elo1077
98thof 402LMArena · TextScore (Elo)1432
106thof 290OTIS Mock AIME 2024-2025mean_score (high)80
107thof 168Scicode — Epoch AIScore41.898
109thof 177Critpt — Epoch AIAccuracy1.143
110thof 121Webdev arena — Epoch AIArena Score1254.07
113thof 313GPQA Diamondmean_score (high)81.818
114thof 128LMArena · WebDevScore (Elo)1254
116thof 143Artificial Analysis · Agentic IndexIndex3.2
118thof 147Design Arena · 3d (models)Elo1076
120thof 150Design Arena · uicomponent (models)Elo1086
125thof 184Artificial Analysis · Coding IndexIndex34.7
126thof 156Design Arena · codecategories (models)Elo1087
128thof 162Design Arena · website (models)Elo1095
129thof 152Design Arena · dataviz (models)Elo1061
132ndof 155Design Arena · gamedev (models)Elo1052
339thof 656Epoch capabilities index — Epoch AIECI Score (low)144.51

About

Gemini 3.1 Flash-Lite — a text model from Google, sold by 9 companies from $0.25 in and $1.5 out per million tokens, placed 98th of 402 on LMArena · Text.

It takes text, images and files and returns text, with a context window of 1,000,000 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. Nine companies sell it. The cheapest is $0.25 in and $1.5 out per million tokens at Databricks. Beside the standard rate there are separately routed, batch, flex, faster and regional lanes. It has been measured on 31 boards, and stands best at 98th of 402 on LMArena · Text.

Every current figure

Maker
Google
Register
model
Takes
text + image + file
Returns
text
Context
1,000,000 tokens
Published
March 2025
Knowledge to
January 2025
Licence
not read
Sellers
9
Price
$0.25 in and $1.5 out per million tokens — Databricks
Boards
31
Best place
98th of 402 — LMArena · Text

Known as 11 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 (batch)Google: Gemini 3.1 Flash Lite Preview