Pass IndexThe State of AISign in

Gemini 3.5 Flash

Google's latest model, highly optimized for coding proficiency and parallel agentic execution loops.

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

$1→$6per Mtok in / out
ElectronHub · 12 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Offered at no charge, which is not the same as cheap: a free lane carries a rate limit and can be withdrawn.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 32 ways

SellerLaneRate
Google apifree$0per Mtok in$0per Mtok outai.google.dev · read 2026-09-16
Google 0 ways$0.75per Mtok in$4.5per Mtok out$0.075per Mtok cached
Google apinot on the seller's list todaybatch$0.75per Mtok in$4.5per Mtok out$0.075per Mtok cachedai.google.dev · read 2026-08-24
Google Vertex AI cloudbatch$0.75per Mtok in$4.5per Mtok out$0.075per Mtok cachedcloud.google.com · read 2026-08-24
Google Vertex AI cloudflex$0.75per Mtok in$4.5per Mtok outraw.githubusercontent.com · read 2026-09-16
Google 0 ways$1.5per Mtok in$9per Mtok out$0.15per Mtok cached
Google apinot on the seller's list todaystandard$1.5per Mtok in$9per Mtok out$0.15per Mtok cachedai.google.dev · read 2026-08-24
Google Vertex AI cloudstandard$1.5per Mtok in$9per Mtok out$0.15per Mtok cached$1.5per Mtok in, audio$9per Mtok out, reasoningcloud.google.com · read 2026-08-24
Databricks cloudstandard$1.88per Mtok in$11.25per Mtok out$0.19per Mtok cached$1.88per Mtok cache writeraw.githubusercontent.com · read 2026-09-16
Google Vertex AI cloudpriority$2.7per Mtok in$16.2per Mtok out$0.27per Mtok cachedraw.githubusercontent.com · read 2026-09-16
Requesty 2 ways$0.68per Mtok in$4.05per Mtok out$0.072per Mtok cached
Requesty aggregatornot on the seller's list todaygoogle flex$0.68per Mtok in$4.05per Mtok out$0.072per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayvertex flex$0.68per Mtok in$4.05per Mtok out$0.068per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatorgoogle$0.75per Mtok in$4.5per Mtok out$0.08per Mtok cachedrouter.requesty.ai · read 2026-09-16
Requesty aggregatorvertex$0.75per Mtok in$4.5per Mtok out$0.075per Mtok cachedrouter.requesty.ai · read 2026-09-16
Requesty aggregatornot on the seller's list todayvertex eu$1.49per Mtok in$8.91per Mtok out$0.15per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayvertex us$1.49per Mtok in$8.91per Mtok out$0.15per Mtok cachedrouter.requesty.ai · read 2026-08-25
Nous Research 2 ways$1.5per Mtok in$9per Mtok out$0.000002per image$0.15per Mtok cached$0.083per Mtok cache write
Nous Research aggregatorbatch$0.75per Mtok in$4.5per Mtok out$0.000001per image$0.075per Mtok cachedinference-api.nousresearch.com · read 2026-09-12
Nous Research aggregatorstandard$1.5per Mtok in$9per Mtok out$0.000002per image$0.15per Mtok cached$0.083per Mtok cache writeinference-api.nousresearch.com · read 2026-09-12
OpenRouter 9 ways$1.5per Mtok in$9per Mtok out$0.000002per image$0.15per Mtok cached$0.083per Mtok cache write
OpenRouter aggregatorbatch$0.75per Mtok in$4.5per Mtok out$0.000001per image$0.075per Mtok cachedopenrouter.ai · read 2026-08-24
OpenRouter aggregatorgoogle-ai-studio/flex$0.75per Mtok in$4.5per Mtok out$0.075per Mtok cached$0.042per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/global/flex$0.75per Mtok in$4.5per Mtok out$0.075per Mtok cached$0.042per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorstandard$1.5per Mtok in$9per Mtok out$0.000002per image$0.15per Mtok cached$0.083per Mtok cache writeopenrouter.ai · read 2026-08-24
OpenRouter aggregatorgoogle-ai-studio$1.5per Mtok in$9per Mtok out$0.15per Mtok cached$0.083per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/global$1.5per Mtok in$9per Mtok out$0.15per Mtok cached$0.083per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/us$1.65per Mtok in$9.9per Mtok out$0.17per Mtok cached$0.083per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-ai-studio/priority$2.7per Mtok in$16.2per Mtok out$0.27per Mtok cached$0.15per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/global/priority$2.7per Mtok in$16.2per Mtok out$0.27per Mtok cached$0.15per Mtok cache writeopenrouter.ai · read 2026-08-25
ElectronHub aggregatorstandard$1per Mtok in$6per Mtok outapi.electronhub.ai · read 2026-09-16
DeepInfra aggregatorstandard$1.5per Mtok in$9per Mtok outapi.deepinfra.com · read 2026-08-25
GitHub Copilot aggregatorstandard$1.5per Mtok in$9per Mtok out$0.15per Mtok cachedmodels.dev · read 2026-09-16
Inference.net aggregatorstandard$1.5per Mtok in$9per Mtok out$0.15per Mtok cachedapi.inference.net · read 2026-09-16
Vercel AI Gateway aggregatorstandard$1.5per Mtok in$9per Mtok out$0.15per Mtok cachedvercel.com · read 2026-08-25
Vercel AI Gateway aggregatornot on the seller's list todaysandbox$1.5per Mtok in$9per Mtok outvercel.com · read 2026-08-25
Venice AI aggregatorstandard$1.55per Mtok in$9.45per Mtok out$0.15per Mtok cached$0.086per Mtok cache writemodels.dev · read 2026-09-16

Measured 66 standings

PlaceBoardMetricScore
2ndof 46LMArena · AgentNet Improvement (%)15.35
3rdof 15Design Arena · agenticslides(python-pptx) (agents)Elo1242
3rdof 13Design Arena · pptxslides (agents)Elo1244
3rdof 35Swe bench verified — Epoch AImean_score (high)79.339
4thof 24Blueprint bench 2 — Epoch AIScore33.623
4thof 15Design Arena · agenticslides (agents)Elo1244
4thof 46Enigma eval — Epoch AIAccuracy (high)25.41
6thof 102Simplebench — Epoch AIScore (AVG@5)0.767
9thof 15Design Arena · agentichtmlslides (agents)Elo1162
9thof 15Design Arena · agenticslides(html) (agents)Elo1162
9thof 80Simpleqa verified — Epoch AImean_score (high)66.2
10thof 222Chess puzzles — Epoch AImean_score (high)50
13thof 26Surface evolver bench — Epoch AIMean score (medium)0.581
14thof 43Design Arena · python-pptxslides (agents)Elo1247
14thof 161Dtbench — Epoch AIAccuracy (high)94.67
14thof 101FrontierMath (Tiers 1-3)mean_score (high)38.966
14thof 23Gbaeval — Epoch AIOverall score0.067
16thof 109Design Arena · svg (models)Elo1281
17thof 152LMArena · VisionScore (Elo) (high)1284
18thof 32AIME 2026Accuracy (± 95% CI)95
19thof 21Ebr bench — Epoch AImean_score (high)4.762
19thof 313GPQA Diamondmean_score (high)92.803
20thof 92Design Arena · asciiart (models)Elo1273
20thof 72Frontiermath tier 4 — Epoch AImean_score (high)14.583
20thof 123Lmca — Epoch AIScore (high)47.15
20thof 60Vending-Bench 2 — Current leaderboardMoney Balance (average across 5 runs)5396.42
21stof 60Vending bench 2 — Epoch AIScore5396.418
23rdof 40Design Arena · agenticgamedev (agents)Elo1180
23rdof 55Design Arena · androidnative (agents)Elo1198
24thof 127Mystery game puzzles — Epoch AImean_score (high)32
25thof 39Gdp pdf — Epoch AIGDP.pdf score0.14
25thof 402LMArena · TextScore (Elo) (high)1478
26thof 62Design Arena · webapps (agents)Elo1219
27thof 106Frontiermath tiers 1 3 v2 — Epoch AImean_score (high)62.807
29thof 64Design Arena · fullstack (agents)Elo1208
29thof 36Design Arena · htmlslides (agents)Elo1145
29thof 63Design Arena · mobileapps (agents)Elo1200
29thof 64Proofbench — Epoch AIAccuracy (high)31
31stof 42Design Arena · godotgamedev (agents)Elo1137
33rdof 155Design Arena · gamedev (models)Elo1287
34thof 150Design Arena · uicomponent (models)Elo1287
35thof 62Frontiermath tier 4 v2 — Epoch AImean_score (high)26.829
36thof 232ARC-AGI-2 (Semi-Private)Score (%) (high)72.08
37thof 147Design Arena · 3d (models)Elo1270
38thof 205ARC-AGI-1 (Public Eval)Score (%) (high)96
38thof 230ARC-AGI-1 (Semi-Private)Score (%) (high)92.5
38thof 290OTIS Mock AIME 2024-2025mean_score (high)95.556
39thof 156Design Arena · codecategories (models)Elo1278
40thof 216ARC-AGI-2 (Public Eval)Score (%) (high)72.08
41stof 162Design Arena · website (models)Elo1275
41stof 121Webdev arena — Epoch AIArena Score1506.38
42ndof 227Arc agi 2 — Epoch AIScore (high)72.08
42ndof 184Artificial Analysis · Coding IndexIndex70.1
43rdof 244Arc agi — Epoch AIScore (high)92.5
43rdof 170Weirdml — Epoch AIAccuracy (high)62.64
44thof 128LMArena · WebDevScore (Elo) (high)1500
45thof 81Forecastbench — Epoch AIOverall score59.2
45thof 168Scicode — Epoch AIScore (high)53.125
48thof 152Design Arena · dataviz (models)Elo1250
50thof 112Ale bench — Epoch AIPerformance (high)911.02
56thof 177Critpt — Epoch AIAccuracy (high)13.143
58thof 143Artificial Analysis · Agentic IndexIndex27.3
58thof 69Deepswe — Epoch AIPass@1 (medium)0.374
59thof 302Artificial Analysis · Intelligence IndexArtificial Analysis Intelligence Index (medium)34
61stof 74Cursorbench — Epoch AIScore49.8
146thof 656Epoch capabilities index — Epoch AIECI Score (high)154.64

About

Gemini 3.5 Flash — a text model from Google, sold by 12 companies from $1 in and $6 out per million tokens, placed 2nd of 46 on LMArena · Agent.

It takes text, images, video and files and returns text, with a context window of 1,000,000 tokens. It was published in May 2026, 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. Twelve companies sell it. The cheapest is $1 in and $6 out per million tokens at ElectronHub. Beside the standard rate there are separately routed, batch, flex, faster and regional lanes. It has been measured on 66 boards, and stands best at 2nd of 46 on LMArena · Agent.

Every current figure

Maker
Google
Register
model
Takes
text + image + video + file
Returns
text
Context
1,000,000 tokens
Published
May 2026
Knowledge to
January 2025
Licence
not read
Sellers
12
Price
$1 in and $6 out per million tokens — ElectronHub
Boards
66
Best place
2nd of 46 — LMArena · Agent

Known as 12 names

Gemini 3.5 Flash (high)gemini-3.5-flash-highgemini-3.5-flash-mediumgoogle/gemini-3.5-flashgemini-3.5-flashgoogle/gemini-3.5-flash:batchgoogle/gemini-3.5-flash:flexvertex/gemini-3.5-flashvertex/gemini-3.5-flash:flexvertex/gemini-3.5-flash@euvertex/gemini-3.5-flash@usGoogle: Gemini 3.5 Flash (batch)