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Gemini 3.6 Flash

Gemini 3.6 Flash delivers higher quality across coding, agentic workflows, and web development with reduced token consumption and fewer model calls compared to previous model iterations.

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

$0.75→$3.75per Mtok in / out
Databricks · 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Offered at no charge, which is not the same as cheap: a free lane carries a rate limit and can be withdrawn.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.

Available within a subscription 1 plan

Bought by the month. What a plan allows is the half of its price that a rate card cannot carry, so it is printed beside every one.

Sold by 30 ways

SellerLaneRate
Google apifree$0per Mtok in$0per Mtok outai.google.dev · read 2026-10-31
Google 0 ways$0.38per Mtok in$1.88per Mtok out$0.037per Mtok cached
Google apinot on the seller's list todaybatch$0.38per Mtok in$1.88per Mtok out$0.037per Mtok cachedai.google.dev · read 2026-08-24
Google Vertex AI cloudbatch$0.38per Mtok in$1.88per Mtok out$0.037per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Google Vertex AI cloudflex$0.38per Mtok in$1.88per Mtok outraw.githubusercontent.com · read 2026-10-31
Databricks cloudstandard$0.75per Mtok in$3.75per Mtok out$0.075per Mtok cached$0.75per Mtok cache writeraw.githubusercontent.com · read 2026-10-31
Google 0 ways$0.75per Mtok in$3.75per Mtok out$0.075per Mtok cached
Google apinot on the seller's list todaystandard$0.75per Mtok in$3.75per Mtok out$0.075per Mtok cachedai.google.dev · read 2026-08-24
Google Vertex AI cloudstandard$0.75per Mtok in$3.75per Mtok out$0.075per Mtok cached$3.75per Mtok out, reasoningmodels.dev · read 2026-10-31
Google Vertex AI cloudpriority$1.35per Mtok in$6.75per Mtok out$0.14per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Databricks cloudpriority$1.35per Mtok in$6.75per Mtok out$0.14per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Requesty 2 ways$0.34per Mtok in$1.69per Mtok out$0.034per Mtok cached
Requesty aggregatornot on the seller's list todaygoogle flex$0.34per Mtok in$1.69per Mtok out$0.034per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayvertex flex$0.34per Mtok in$1.69per Mtok out$0.034per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatorgoogle$1.5per Mtok in$7per Mtok out$0.15per Mtok cachedrouter.requesty.ai · read 2026-10-10
Requesty aggregatorvertex$1.5per Mtok in$7per Mtok out$0.15per Mtok cachedrouter.requesty.ai · read 2026-10-10
Nous Research 2 ways$0.75per Mtok in$3.75per Mtok out$0.000001per image$0.075per Mtok cached$0.042per Mtok cache write
Nous Research aggregatorbatch$0.38per Mtok in$1.88per Mtok out$0.037per Mtok cached$0.042per Mtok cache writeinference-api.nousresearch.com · read 2026-09-12
Nous Research aggregatorstandard$0.75per Mtok in$3.75per Mtok out$0.000001per image$0.075per Mtok cached$0.042per Mtok cache writeinference-api.nousresearch.com · read 2026-09-12
OpenRouter 9 ways$0.75per Mtok in$3.75per Mtok out$0.000001per image$0.075per Mtok cached$0.042per Mtok cache write
OpenRouter aggregatorbatch$0.38per Mtok in$1.88per Mtok out$0.037per Mtok cached$0.042per Mtok cache writeopenrouter.ai · read 2026-08-24
OpenRouter aggregatorgoogle-ai-studio/flex$0.38per Mtok in$1.88per Mtok out$0.037per Mtok cached$0.021per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/global/flex$0.38per Mtok in$1.88per Mtok out$0.037per Mtok cached$0.021per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorstandard$0.75per Mtok in$3.75per Mtok out$0.000001per image$0.075per Mtok cached$0.042per Mtok cache writeopenrouter.ai · read 2026-08-24
OpenRouter aggregatorgoogle-ai-studio$0.75per Mtok in$3.75per Mtok out$0.075per Mtok cached$0.042per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/global$0.75per Mtok in$3.75per Mtok out$0.075per Mtok cached$0.042per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/us$0.82per Mtok in$4.12per Mtok out$0.083per Mtok cached$0.042per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-ai-studio/priority$1.35per Mtok in$6.75per Mtok out$0.14per Mtok cached$0.075per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/global/priority$1.35per Mtok in$6.75per Mtok out$0.14per Mtok cached$0.075per Mtok cache writeopenrouter.ai · read 2026-08-25
ElectronHub aggregatorstandard$0.75per Mtok in$3.75per Mtok outapi.electronhub.ai · read 2026-10-31
GitHub Copilot aggregatorstandard$0.75per Mtok in$3.75per Mtok out$0.075per Mtok cachedmodels.dev · read 2026-10-31
Vercel AI Gateway aggregatorstandard$0.75per Mtok in$3.75per Mtok out$0.075per Mtok cachedai-gateway.vercel.sh · read 2026-08-25
Venice AI aggregatorstandard$0.94per Mtok in$4.69per Mtok out$0.094per Mtok cachedmodels.dev · read 2026-10-31
Inference.net aggregatorstandard$1.5per Mtok in$7.5per Mtok out$0.15per Mtok cachedapi.inference.net · read 2026-10-31
RedPill aggregatorstandard$1.5per Mtok in$7.5per Mtok outapi.redpill.ai · read 2026-09-20

Measured 51 standings

PlaceBoardMetricScore
8thof 92Forecastbench — Epoch AIOverall score (medium)65.9
11thof 93Design Arena · asciiart (models)Elo1277
11thof 34Design Arena · pdf (agents)Elo1271
11thof 326GPQA Diamondmean_score (high)94.129
13thof 93Simpleqa verified — Epoch AImean_score (high)66.2
16thof 53LMArena · AgentNet Improvement (%)7.79
17thof 35Blueprint bench 2 — Epoch AIScore31.236
17thof 54Design Arena · androidnative (agents)Elo1199
18thof 39Design Arena · blender3d (agents)Elo1124
23rdof 154Design Arena · dataviz (models)Elo1290
23rdof 169Design Arena · website (models)Elo1300
23rdof 414LMArena · TextScore (Elo) (high)1482
24thof 39Design Arena · agenticgamedev (agents)Elo1127
26thof 36Design Arena · htmlslides (agents)Elo1045
26thof 165LMArena · VisionScore (Elo) (high)1281
30thof 68Design Arena · mobileapps (agents)Elo1196
30thof 41Design Arena · spreadsheet (agents)Elo1075
30thof 46Frontiercode — Epoch AIMain score0.344
30thof 35Furniture assembly — Epoch AImean_score (high)23.333
31stof 163Design Arena · codecategories (models)Elo1289
31stof 61Design Arena · fullstack (agents)Elo1181
32ndof 157Design Arena · uicomponent (models)Elo1293
35thof 41Design Arena · python-pptxslides (agents)Elo1098
36thof 142Mystery game puzzles — Epoch AImean_score (high)30
37thof 68Design Arena · webapps (agents)Elo1185
38thof 150Design Arena · 3d (models)Elo1269
39thof 60Apex agents — Epoch AIPass@1 score0.469
39thof 154Chess puzzles — Epoch AImean_score (low)42
40thof 235Dtbench — Epoch AIAccuracy (high)95.47
42ndof 141LMArena · WebDevScore (Elo) (high)1538
42ndof 84Proofbench — Epoch AIAccuracy36
43rdof 56Gdp pdf — Epoch AIGDP.pdf score0.14
43rdof 135Webdev arena — Epoch AIArena Score (high)1536.95
44thof 163Artificial Analysis · Coding IndexIndex69.2
44thof 122Frontiermath tiers 1 3 v2 — Epoch AImean_score (high)58.947
47thof 131Artificial Analysis · Agentic IndexIndex29
48thof 162Design Arena · gamedev (models)Elo1262
51stof 69Deepswe — Epoch AIPass@1 (high)0.467
55thof 78Frontiermath tier 4 v2 — Epoch AImean_score (high)21.951
59thof 306OTIS Mock AIME 2024-2025mean_score (high)94.167
59thof 173Weirdml — Epoch AIAccuracy (high)56.1
60thof 273ARC-AGI-1 (Public Eval)Score (%) (high)96
69thof 298ARC-AGI-1 (Semi-Private)Score (%) (high)91.17
75thof 282ARC-AGI-2 (Public Eval)Score (%) (high)65.28
76thof 309Arc agi — Epoch AIScore (high)91.167
82ndof 235Scicode — Epoch AIScore (high)53.356
89thof 298ARC-AGI-2 (Semi-Private)Score (%) (high)60.42
90thof 132Ale bench — Epoch AIPerformance (high)715.52
91stof 197Lmca — Epoch AIScore (high)44.93
96thof 290Arc agi 2 — Epoch AIScore (high)60.417
114thof 260Critpt — Epoch AIAccuracy (high)10.571

About

Gemini 3.6 Flash — a text model from Google, sold by 12 companies from $0.75 in and $3.75 out per million tokens, placed 11th of 326 on GPQA Diamond.

It takes text, images, video and files and returns text, with a context window of 1,048,576 tokens. It was published in July 2026, trained on material up to March 2026. 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 $0.75 in and $3.75 out per million tokens at Databricks. Beside the standard rate there are faster, separately routed, batch, flex and regional lanes. It has been measured on 51 boards, and stands best at 11th of 326 on GPQA Diamond.

Every current figure

Maker
Google
Register
model
Takes
text + image + video + file
Returns
text
Context
1,048,576 tokens
Published
July 2026
Knowledge to
March 2026
Licence
not read
Sellers
12
Price
$0.75 in and $3.75 out per million tokens — Databricks
Boards
51
Best place
11th of 326 — GPQA Diamond

Known as 11 names

Gemini 3.6 Flash (high)gemini-3.6-flash_highgemini-3.6-flash-highgemini-3.6-flashgoogle/gemini-3.6-flashgoogle/gemini-3.6-flash:batchgoogle/gemini-3.6-flash:flexvertex/gemini-3.6-flashvertex/gemini-3.6-flash:flexgoogle/gemini-3.6-flash-batchGoogle: Gemini 3.6 Flash (batch)