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Gemini 3 Flash Preview

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance.

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

$0.5$3per Mtok in / out
Databricks · 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Offered at no charge, which is not the same as cheap: a free lane carries a rate limit and can be withdrawn.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 26 ways

SellerLaneRate
Google apifree$0per Mtok in$0per Mtok outai.google.dev · read 2026-09-16
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 outcloud.google.com · read 2026-08-24
Google Vertex AI cloudflex$0.25per Mtok in$1.5per Mtok outraw.githubusercontent.com · read 2026-09-16
Databricks cloudstandard$0.5per Mtok in$3per Mtok out$0.05per Mtok cachedmodels.dev · read 2026-09-16
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, reasoningcloud.google.com · read 2026-08-24
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 2026-09-16
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$0.25per Mtok in$1.5per Mtok out$0.05per Mtok cachedrouter.requesty.ai · read 2026-09-15
Requesty aggregatorvertex$0.5per Mtok in$3per Mtok out$0.05per Mtok cachedrouter.requesty.ai · read 2026-09-15
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
ElectronHub aggregatorstandard$0.5per Mtok in$3per Mtok outapi.electronhub.ai · read 2026-09-16
Inference.net aggregatorstandard$0.5per Mtok in$3per Mtok out$0.05per Mtok cachedapi.inference.net · read 2026-09-16
Venice AI aggregatorstandard$0.7per Mtok in$3.75per Mtok out$0.07per Mtok cachedmodels.dev · read 2026-09-16

Measured 47 standings

PlaceBoardMetricScore
2ndof 47SWE-bench Verified (default "Bash Only" view, agent = mini-SWE-agent)% Resolved (high)75.8
3rdof 38Vpct — Epoch AICorrect0.726
4thof 61AIME 2025Accuracy (± 95% CI)97.5
4thof 36Balrog — Epoch AIAverage progress0.481
4thof 8τ²-bench Leaderboard (Overall: Retail · Airline · Telecom)Pass^183.5
5thof 262MMLU-ProOverall (accuracy) (12/25)88.6
6thof 32AIME 2026Accuracy (± 95% CI)96.67
9thof 180SWE-bench Verified (Bash Only toggle off — all agents)% Resolved (high)75.8
12thof 15Design Arena · agenticslides (agents)Elo1073
12thof 15Design Arena · agenticslides(python-pptx) (agents)Elo1075
14thof 25SWE-Bench Pro (Public Dataset)Resolve Rate34.63
14thof 35Swe bench verified — Epoch AImean_score75.413
15thof 34LMArena · SearchScore (Elo)1198
15thof 28τ³-Banking LeaderboardPass^127.3
18thof 112Ale bench — Epoch AIPerformance1367.2
20thof 42Design Arena · godotgamedev (agents)Elo1161
20thof 101FrontierMath (Tiers 1-3)mean_score35.64
20thof 38Gso — Epoch AIScore OPT@10.098
21stof 24Blueprint bench 2 — Epoch AIScore0
27thof 102Simplebench — Epoch AIScore (AVG@5)0.611
31stof 65Apex agents — Epoch AIPass@1 score0.24
33rdof 39Gdp pdf — Epoch AIGDP.pdf score0.1
34thof 222Chess puzzles — Epoch AImean_score38
37thof 72Frontiermath tier 4 — Epoch AImean_score4.167
37thof 202Terminalbench — Epoch AIAccuracy mean0.643
37thof 60Vending bench 2 — Epoch AIScore3634.716
40thof 106Frontiermath tiers 1 3 v2 — Epoch AImean_score51.228
42ndof 43Design Arena · python-pptxslides (agents)Elo1036
44thof 170Weirdml — Epoch AIAccuracy61.6
45thof 64Proofbench — Epoch AIAccuracy15
46thof 62Frontiermath tier 4 v2 — Epoch AImean_score17.073
47thof 55Design Arena · androidnative (agents)Elo1066
49thof 64Design Arena · fullstack (agents)Elo1072
50thof 62Design Arena · webapps (agents)Elo1126
52ndof 81Forecastbench — Epoch AIOverall score58.5
53rdof 290OTIS Mock AIME 2024-2025mean_score92.778
55thof 63Design Arena · mobileapps (agents)Elo1119
64thof 147Design Arena · 3d (models)Elo1212
71stof 156Design Arena · codecategories (models)Elo1205
71stof 162Design Arena · website (models)Elo1208
79thof 155Design Arena · gamedev (models)Elo1189
85thof 105Vectara Hallucination LeaderboardHallucination Rate13.5
85thof 121Webdev arena — Epoch AIArena Score1382.78
91stof 244Arc agi — Epoch AIScore84.67
95thof 227Arc agi 2 — Epoch AIScore33.61
104thof 313GPQA Diamondmean_score83.207
196thof 656Epoch capabilities index — Epoch AIECI Score151.8

About

Gemini 3 Flash Preview — a text model from Google, sold by 10 companies from $0.5 in and $3 out per million tokens, placed 5th of 262 on MMLU-Pro.

It takes text, images, audio, video and files and returns text, with a context window of 1,048,576 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, code and agents. Ten companies sell it. The cheapest is $0.5 in and $3 out per million tokens at Databricks. Beside the standard rate there are separately routed, flex, faster, batch and regional lanes. It has been measured on 47 boards, and stands best at 5th of 262 on MMLU-Pro.

Every current figure

Maker
Google
Register
model
Takes
text + image + audio + video + file
Returns
text
Context
1,048,576 tokens
Longest answer
65,536 tokens
Published
December 2025
Knowledge to
January 2025
Licence
not read
Sellers
10
Price
$0.5 in and $3 out per million tokens — Databricks
Boards
47
Best place
5th of 262 — MMLU-Pro

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)gemini-3-flash-previewgoogle/gemini-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)