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Gemini 3 Flash Preview

Gemini 3 Flash Preview is a model by Google for reasoning and agentic, it stands 3rd of 38 on Vpct — Epoch AI, and 11 sellers in the catalogue publish a price for it.

text + image + audio + video + file → text · made by Google

$0.5→$3per Mtok in / out
AtlasCloud · 11 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Offered at no charge, which is not the same as cheap: a free lane carries a rate limit and can be withdrawn.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 27 ways

SellerLaneRate
Google apifree$0per Mtok in$0per Mtok outai.google.dev · read 2026-10-31
Google 0 ways$0.25per Mtok in$1.5per Mtok out$0.05per Mtok cached
Google apinot on the seller's list todaybatch$0.25per Mtok in$1.5per Mtok out$0.05per Mtok cachedai.google.dev · read 2026-08-24
Google Vertex AI 0 ways$0.25per Mtok in$1.5per Mtok out
Google Vertex AI cloudnot on the seller's list todaybatch$0.25per Mtok in$1.5per Mtok outraw.githubusercontent.com · read 2026-10-31
Google Vertex AI cloudflex$0.25per Mtok in$1.5per Mtok outraw.githubusercontent.com · read 2026-10-31
Databricks cloudstandard$0.5per Mtok in$3per Mtok out$0.05per Mtok cachedmodels.dev · read 2026-10-31
Google 0 ways$0.5per Mtok in$3per Mtok out$0.05per Mtok cached
Google apinot on the seller's list todaystandard$0.5per Mtok in$3per Mtok out$0.05per Mtok cachedai.google.dev · read 2026-08-24
Google Vertex AI cloudstandard$0.5per Mtok in$3per Mtok out$0.05per Mtok cached$1per Mtok in, audio$3per Mtok out, reasoningmodels.dev · read 2026-10-31
Writer apistandard$0.5per Mtok in$3per Mtok outdev.writer.com · read 2026-08-25
Google Vertex AI cloudpriority$0.9per Mtok in$5.4per Mtok out$0.09per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Requesty 2 ways$0.23per Mtok in$1.35per Mtok out$0.045per Mtok cached
Requesty aggregatornot on the seller's list todaygoogle flex$0.23per Mtok in$1.35per Mtok out$0.045per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayvertex flex$0.23per Mtok in$1.35per Mtok out$0.022per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatorgoogle$0.5per Mtok in$3per Mtok out$0.05per Mtok cachedrouter.requesty.ai · read 2026-10-10
Requesty aggregatorvertex$0.5per Mtok in$3per Mtok out$0.05per Mtok cachedrouter.requesty.ai · read 2026-10-09
Nous Research 2 ways$0.5per Mtok in$3per Mtok out$0.000001per image$0.05per Mtok cached$0.083per Mtok cache write
Nous Research aggregatorbatch$0.25per Mtok in$1.5per Mtok outinference-api.nousresearch.com · read 2026-09-12
Nous Research aggregatorstandard$0.5per Mtok in$3per Mtok out$0.000001per image$0.05per Mtok cached$0.083per Mtok cache writeinference-api.nousresearch.com · read 2026-09-12
OpenRouter 8 ways$0.5per Mtok in$3per Mtok out$0.000001per image$0.05per Mtok cached$0.083per Mtok cache write
OpenRouter aggregatorbatch$0.25per Mtok in$1.5per Mtok outopenrouter.ai · read 2026-08-24
OpenRouter aggregatorgoogle-ai-studio/flex$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cached$0.042per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/global/flex$0.25per Mtok in$1.5per Mtok out$0.025per Mtok cached$0.042per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorstandard$0.5per Mtok in$3per Mtok out$0.000001per image$0.05per Mtok cached$0.083per Mtok cache writeopenrouter.ai · read 2026-08-24
OpenRouter aggregatorgoogle-ai-studio$0.5per Mtok in$3per Mtok out$0.05per Mtok cached$0.083per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/global$0.5per Mtok in$3per Mtok out$0.05per Mtok cached$0.083per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-ai-studio/priority$0.9per Mtok in$5.4per Mtok out$0.09per Mtok cached$0.15per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/global/priority$0.9per Mtok in$5.4per Mtok out$0.09per Mtok cached$0.15per Mtok cache writeopenrouter.ai · read 2026-08-25
AtlasCloud aggregatorstandard$0.5per Mtok in$3per Mtok out$0.05per Mtok cachedapi.atlascloud.ai · read 2026-09-20
ElectronHub aggregatorstandard$0.5per Mtok in$3per Mtok outapi.electronhub.ai · read 2026-10-31
Inference.net aggregatorstandard$0.5per Mtok in$3per Mtok out$0.05per Mtok cachedapi.inference.net · read 2026-10-31
Venice AI aggregatorstandard$0.7per Mtok in$3.75per Mtok out$0.07per Mtok cachedmodels.dev · read 2026-10-31

Measured 36 standings

PlaceBoardMetricScore
3rdof 38Vpct — Epoch AICorrect0.726
8thof 41Balrog — Epoch AIAverage progress0.481
12thof 15Design Arena · agenticslides (agents)Elo1073
12thof 15Design Arena · agenticslides(python-pptx) (agents)Elo1075
14thof 35Swe bench verified — Epoch AImean_score75.413
15thof 34LMArena · SearchScore (Elo)1198
20thof 101FrontierMath (Tiers 1-3)mean_score35.64
22ndof 92Forecastbench — Epoch AIOverall score64.7
24thof 42Gso — Epoch AIScore OPT@10.098
27thof 102Simplebench — Epoch AIScore (AVG@5)0.611
29thof 50Design Arena · godotgamedev (agents)Elo1161
32ndof 132Ale bench — Epoch AIPerformance1367.2
32ndof 35Blueprint bench 2 — Epoch AIScore0
37thof 72Frontiermath tier 4 — Epoch AImean_score4.167
37thof 202Terminalbench — Epoch AIAccuracy mean0.643
40thof 41Design Arena · python-pptxslides (agents)Elo1036
46thof 54Design Arena · androidnative (agents)Elo1047
46thof 61Design Arena · fullstack (agents)Elo1063
47thof 71Vending bench 2 — Epoch AIScore3634.716
47thof 173Weirdml — Epoch AIAccuracy61.6
50thof 56Gdp pdf — Epoch AIGDP.pdf score0.1
56thof 68Design Arena · webapps (agents)Elo1099
56thof 122Frontiermath tiers 1 3 v2 — Epoch AImean_score51.228
61stof 68Design Arena · mobileapps (agents)Elo1090
62ndof 78Frontiermath tier 4 v2 — Epoch AImean_score17.073
63rdof 84Proofbench — Epoch AIAccuracy15
69thof 306OTIS Mock AIME 2024-2025mean_score92.778
77thof 150Design Arena · 3d (models)Elo1181
86thof 163Design Arena · codecategories (models)Elo1187
89thof 169Design Arena · website (models)Elo1194
91stof 111Vectara Hallucination LeaderboardHallucination Rate13.5
94thof 162Design Arena · gamedev (models)Elo1166
99thof 135Webdev arena — Epoch AIArena Score1383.12
117thof 326GPQA Diamondmean_score83.207
128thof 309Arc agi — Epoch AIScore84.67
134thof 290Arc agi 2 — Epoch AIScore33.61

About

Gemini 3 Flash Preview — a text model from Google, sold by 11 companies from $0.5 in and $3 out per million tokens, placed 3rd of 38 on Vpct — Epoch AI.

It takes text, images, audio, video and files and returns text, with a context window of 200,000 tokens. It was published in December 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 reasoning and agents. Eleven companies sell it. The cheapest is $0.5 in and $3 out per million tokens at AtlasCloud. Beside the standard rate there are separately routed, flex, faster, batch and regional lanes. It has been measured on 36 boards, and stands best at 3rd of 38 on Vpct — Epoch AI.

Every current figure

Maker
Google
Register
model
Takes
text + image + audio + video + file
Returns
text
Context
200,000 tokens
Longest answer
65,536 tokens
Published
December 2025
Knowledge to
January 2025
Licence
not read
Sellers
11
Price
$0.5 in and $3 out per million tokens — AtlasCloud
Boards
36
Best place
3rd of 38 — Vpct — Epoch AI

Known as 12 names

gemini-3-flash-groundingGemini-3-Flash(12/25)Gemini 3 Flash (high)Gemini 3 Flash highmini-SWE-agent + Gemini 3 Flash (high)google/gemini-3-flash-previewgemini-3-flash-previewgoogle/gemini-3-flash-preview:batchgoogle/gemini-3-flash-preview:flexvertex/gemini-3-flash-previewvertex/gemini-3-flash-preview:flexGoogle: Gemini 3 Flash Preview (batch)