Pass IndexThe State of AISign in

Gemini 3.1 Pro Preview

Improved SWE and agentic capabilities, improved token efficiency and thinking, and expanded thinking levels.

text + image + file → text · made by Google

$2→$12per Mtok in / out
AtlasCloud · 13 sellers

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 34 ways

SellerLaneRate
Google 0 ways$1per Mtok in$6per Mtok out$0.2per Mtok cached
Google apinot on the seller's list todaybatch$1per Mtok in$6per Mtok out$0.2per Mtok cachedai.google.dev · read 2026-08-24
Google Vertex AI cloudbatch$1per Mtok in$6per Mtok outraw.githubusercontent.com · read 2026-10-31
Google Vertex AI cloudflex$1per Mtok in$6per Mtok outraw.githubusercontent.com · read 2026-10-31
Databricks cloudstandard$2per Mtok in$12per Mtok out$0.2per Mtok cached$2.5per Mtok cache writemodels.dev · read 2026-10-31
Google 0 ways$2per Mtok in$12per Mtok out$0.2per Mtok cached
Google apinot on the seller's list todaystandard$2per Mtok in$12per Mtok out$0.2per Mtok cachedai.google.dev · read 2026-08-24
Google Vertex AI cloudstandard$2per Mtok in$12per Mtok out$0.00012per image$0.2per Mtok cachedmodels.dev · read 2026-10-31
Writer apistandard$2per Mtok in$12per Mtok outdev.writer.com · read 2026-08-25
Google Vertex AI cloudpriority$3.6per Mtok in$21.6per Mtok out$0.36per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Google Vertex AI cloudlong-context$4per Mtok in$18per Mtok out$0.4per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Databricks cloudpriority$4.5per Mtok in$27per Mtok out$0.45per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Databricks cloudlong-context$5per Mtok in$22.5per Mtok out$0.5per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Requesty 2 ways$0.9per Mtok in$5.4per Mtok out$0.18per Mtok cached
Requesty aggregatornot on the seller's list todaygoogle flex$0.9per Mtok in$5.4per Mtok out$0.18per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayvertex flex$0.9per Mtok in$5.4per Mtok out$0.09per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatorgoogle$2per Mtok in$12per Mtok out$0.2per Mtok cachedrouter.requesty.ai · read 2026-10-09
Requesty aggregatorvertex$2per Mtok in$12per Mtok out$0.2per Mtok cachedrouter.requesty.ai · read 2026-10-09
Nous Research 2 ways$2per Mtok in$12per Mtok out$0.000002per image$0.2per Mtok cached$0.38per Mtok cache write
Nous Research aggregatorbatch$1per Mtok in$6per Mtok out$0.000001per imageinference-api.nousresearch.com · read 2026-09-12
Nous Research aggregatorstandard$2per Mtok in$12per Mtok out$0.000002per image$0.2per Mtok cached$0.38per Mtok cache writeinference-api.nousresearch.com · read 2026-09-12
OpenRouter 8 ways$2per Mtok in$12per Mtok out$0.000002per image$0.2per Mtok cached$0.38per Mtok cache write
OpenRouter aggregatorbatch$1per Mtok in$6per Mtok out$0.000001per imageopenrouter.ai · read 2026-08-24
OpenRouter aggregatorgoogle-ai-studio/flex$1per Mtok in$6per Mtok out$0.1per Mtok cached$0.19per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/global/flex$1per Mtok in$6per Mtok out$0.1per Mtok cached$0.19per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorstandard$2per Mtok in$12per Mtok out$0.000002per image$0.2per Mtok cached$0.38per Mtok cache writeopenrouter.ai · read 2026-08-24
OpenRouter aggregatorgoogle-ai-studio$2per Mtok in$12per Mtok out$0.2per Mtok cached$0.38per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/global$2per Mtok in$12per Mtok out$0.2per Mtok cached$0.38per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-ai-studio/priority$3.6per Mtok in$21.6per Mtok out$0.36per Mtok cached$0.68per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorgoogle-vertex/global/priority$3.6per Mtok in$21.6per Mtok out$0.36per Mtok cached$0.68per Mtok cache writeopenrouter.ai · read 2026-08-25
AtlasCloud aggregatorstandard$2per Mtok in$12per Mtok out$0.2per Mtok cachedapi.atlascloud.ai · read 2026-09-20
DeepInfra aggregatorstandard$2per Mtok in$12per Mtok outapi.deepinfra.com · read 2026-08-25
GitHub Copilot 0 ways$2per Mtok in$12per Mtok out$0.2per Mtok cached
GitHub Copilot aggregatornot on the seller's list todaystandard$2per Mtok in$12per Mtok out$0.2per Mtok cachedmodels.dev · read 2026-09-04
Inference.net aggregatorstandard$2per Mtok in$12per Mtok out$0.2per Mtok cachedapi.inference.net · read 2026-10-31
Vercel AI Gateway aggregatorstandard$2per Mtok in$12per Mtok out$0.2per Mtok cachedvercel.com · read 2026-08-25
Vercel AI Gateway aggregatornot on the seller's list todaysandbox$2per Mtok in$12per Mtok outvercel.com · read 2026-08-25
Venice AI aggregatorstandard$2.5per Mtok in$15per Mtok out$0.5per Mtok cached$0.5per Mtok cache writemodels.dev · read 2026-10-31
ElectronHub aggregatorstandard$3per Mtok in$15per Mtok outapi.electronhub.ai · read 2026-10-31
RedPill aggregatorstandard$4per Mtok in$18per Mtok outapi.redpill.ai · read 2026-09-20

Measured 79 standings

PlaceBoardMetricScore
2ndof 18Algotune — Epoch AIScore2.02
3rdof 46Enigma eval — Epoch AIAccuracy36.78
3rdof 56Humanity's Last Exam (Epoch AI replication)Accuracy46.44
3rdof 49Metr time horizons — Epoch AIaverage_score0.77
3rdof 102Simplebench — Epoch AIScore (AVG@5)0.796
4thof 93Simpleqa verified — Epoch AImean_score (high)73.5
5thof 41Balrog — Epoch AIAverage progress0.57
6thof 17Cl bench life — Epoch AIOverall0.169
6thof 23Cl bench — Epoch AIOverall0.208
6thof 15Design Arena · agentichtmlslides (agents)Elo1226
6thof 15Design Arena · agenticslides(html) (agents)Elo1219
6thof 202Terminalbench — Epoch AIAccuracy mean0.802
8thof 20Exploitbench — Epoch AIMean capability0.261
8thof 326GPQA Diamondmean_score (high)94.444
9thof 34LMArena · SearchScore (Elo)1210
10thof 15Design Arena · agenticslides (agents)Elo1112
10thof 15Design Arena · agenticslides(python-pptx) (agents)Elo1107
10thof 13Design Arena · pptxslides (agents)Elo1110
11thof 309Arc agi — Epoch AIScore98
11thof 92Forecastbench — Epoch AIOverall score (high)65.5
11thof 12Posttrainbench — Epoch AIAverage (%)0.22
13thof 298ARC-AGI-1 (Semi-Private)Score (%)98
13thof 50Design Arena · godotgamedev (agents)Elo1236
16thof 72Frontiermath tier 4 — Epoch AImean_score16.7
17thof 53LMArena · AgentNet Improvement (%)7.79
17thof 414LMArena · TextScore (Elo)1487
18thof 154Chess puzzles — Epoch AImean_score (high)51
18thof 101FrontierMath (Tiers 1-3)mean_score36.9
18thof 42Gso — Epoch AIScore OPT@10.226
19thof 23Gbaeval — Epoch AIOverall score0.008
20thof 114Design Arena · svg (models)Elo1283
20thof 235Dtbench — Epoch AIAccuracy (medium)97.07
20thof 28Ebr bench — Epoch AImean_score14.286
22ndof 41Deepresearchbench — Epoch AIAverage score (high)0.478
22ndof 93Design Arena · asciiart (models)Elo1267
22ndof 235Scicode — Epoch AIScore58.681
24thof 35Blueprint bench 2 — Epoch AIScore26.464
24thof 36Design Arena · htmlslides (agents)Elo1049
27thof 39Design Arena · blender3d (agents)Elo1045
28thof 34Design Arena · pdf (agents)Elo1128
28thof 142Mystery game puzzles — Epoch AImean_score (high)34
29thof 35Furniture assembly — Epoch AImean_score (high)26.667
29thof 165LMArena · VisionScore (Elo)1280
29thof 30Mirrorcode — Epoch AImean_score (high)8.889
32ndof 41Design Arena · python-pptxslides (agents)Elo1109
32ndof 173Weirdml — Epoch AIAccuracy72.07
35thof 282ARC-AGI-2 (Public Eval)Score (%)88.07
35thof 39Design Arena · agenticgamedev (agents)Elo1061
35thof 56Gdp pdf — Epoch AIGDP.pdf score0.17
38thof 41Design Arena · spreadsheet (agents)Elo1021
42ndof 122Frontiermath tiers 1 3 v2 — Epoch AImean_score59.649
43rdof 273ARC-AGI-1 (Public Eval)Score (%)97.24
43rdof 157Design Arena · uicomponent (models)Elo1275
44thof 61Design Arena · fullstack (agents)Elo1068
46thof 298ARC-AGI-2 (Semi-Private)Score (%)77.08
46thof 306OTIS Mock AIME 2024-2025mean_score95.6
47thof 84Proofbench — Epoch AIAccuracy26
48thof 54Design Arena · androidnative (agents)Elo1045
48thof 78Frontiermath tier 4 v2 — Epoch AImean_score26.829
49thof 163Artificial Analysis · Coding IndexIndex68.8
50thof 290Arc agi 2 — Epoch AIScore77.1
50thof 197Lmca — Epoch AIScore (high)53.82
51stof 132Ale bench — Epoch AIPerformance1160.6
51stof 60Apex agents — Epoch AIPass@1 score0.351
51stof 68Design Arena · webapps (agents)Elo1114
56thof 150Design Arena · 3d (models)Elo1231
56thof 68Design Arena · mobileapps (agents)Elo1093
58thof 71Vending bench 2 — Epoch AIScore911.214
62ndof 154Design Arena · dataviz (models)Elo1239
63rdof 169Design Arena · website (models)Elo1251
63rdof 111Vectara Hallucination LeaderboardHallucination Rate10.4
65thof 163Design Arena · codecategories (models)Elo1242
67thof 69Deepswe — Epoch AIPass@10.117
70thof 141LMArena · WebDevScore (Elo)1447
71stof 135Webdev arena — Epoch AIArena Score1446.64
76thof 260Critpt — Epoch AIAccuracy17.714
77thof 162Design Arena · gamedev (models)Elo1202
78thof 112ARC-AGI-3 (Semi-Private)Score (%)0.42
87thof 131Artificial Analysis · Agentic IndexIndex8.2

About

Gemini 3.1 Pro Preview — a text model from Google, sold by 13 companies from $2 in and $12 out per million tokens, placed 3rd of 102 on Simplebench — Epoch AI.

It takes text, images and files and returns text, with a context window of 1,048,576 tokens. It was published in February 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. Thirteen companies sell it. The cheapest is $2 in and $12 out per million tokens at AtlasCloud. Beside the standard rate there are separately routed, faster, batch, flex and regional lanes. It has been measured on 79 boards, and stands best at 3rd of 102 on Simplebench — Epoch AI.

Every current figure

Maker
Google
Register
model
Takes
text + image + file
Returns
text
Context
1,048,576 tokens
Longest answer
65,536 tokens
Published
February 2026
Knowledge to
January 2025
Licence
not read
Sellers
13
Price
$2 in and $12 out per million tokens — AtlasCloud
Boards
79
Best place
3rd of 102 — Simplebench — Epoch AI

Known as 18 names

Gemini 3.1 Pro (Preview)gemini-3.1-pro-previewGemini 3.1 Pro Preview (high)gemini-3.1-pro-preview_highgemini-3.1-pro-groundingGemini-3.1-ProOpenAPA w/ gemini-3.1-progemini-3.1-pro (thinking)gemini-3.1-pro (thinking)*Gemini 3.1 Progoogle/gemini-3.1-pro-previewgoogle/gemini-3.1-progoogle/gemini-3.1-pro-preview:batchgoogle/gemini-3.1-pro-preview:flexvertex/gemini-3.1-pro-previewvertex/gemini-3.1-pro-preview:flexgoogle/gemini-3.1-pro-preview-batchGoogle: Gemini 3.1 Pro Preview (batch)