Pass IndexThe State of AISign in

Gemini 3.1 Pro Preview

This model improves upon Gemini 2.5 Pro and is catered towards challenging tasks, especially those involving complex reasoning or agentic workflows.

text + image + file → text · made by Google

$2$12per Mtok in / out
DeepInfra · 11 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 30 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 outcloud.google.com · read 2026-08-24
Google Vertex AI cloudflex$1per Mtok in$6per Mtok outraw.githubusercontent.com · read 2026-09-16
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 cachedcloud.google.com · read 2026-08-24
Writer apistandard$2per Mtok in$12per Mtok outdev.writer.com · read 2026-08-25
Databricks cloudstandard$2.5per Mtok in$15per Mtok out$0.25per Mtok cached$2.5per Mtok cache writeraw.githubusercontent.com · read 2026-09-16
Google Vertex AI cloudpriority$3.6per Mtok in$21.6per Mtok out$0.36per Mtok cachedraw.githubusercontent.com · read 2026-09-16
Google Vertex AI cloudlong-context$4per Mtok in$18per Mtok out$0.4per Mtok cachedraw.githubusercontent.com · read 2026-09-16
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 aggregatorvertex$1per Mtok in$6per Mtok out$0.1per Mtok cachedrouter.requesty.ai · read 2026-09-16
Requesty aggregatorgoogle$2per Mtok in$12per Mtok out$0.2per Mtok cachedrouter.requesty.ai · read 2026-09-16
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
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 2026-09-16
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 2026-09-16
ElectronHub aggregatorstandard$3per Mtok in$15per Mtok outapi.electronhub.ai · read 2026-09-16

Measured 84 standings

PlaceBoardMetricScore
1stof 262MMLU-ProOverall (accuracy)91.16
2ndof 18Algotune — Epoch AIScore2.02
2ndof 36Balrog — Epoch AIAverage progress0.57
2ndof 51Humanity's Last Exam (Epoch AI replication)Accuracy46.44
2ndof 80Simpleqa verified — Epoch AImean_score (high)73.5
3rdof 46Enigma eval — Epoch AIAccuracy36.78
3rdof 50Metr time horizons — Epoch AIaverage_score0.77
3rdof 102Simplebench — Epoch AIScore (AVG@5)0.796
4thof 32AIME 2026Accuracy (± 95% CI)98.33
4thof 168Scicode — Epoch AIScore58.912
5thof 244Arc agi — Epoch AIScore98
5thof 313GPQA Diamondmean_score (high)94.444
5thof 25SWE-Bench Pro (Public Dataset)Resolve Rate (thinking)46.1
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
7thof 230ARC-AGI-1 (Semi-Private)Score (%)98
7thof 222Chess puzzles — Epoch AImean_score55
7thof 142terminal-bench@2.0Accuracy80.2
8thof 42Design Arena · godotgamedev (agents)Elo1236
8thof 20Exploitbench — Epoch AIMean capability0.261
8thof 8Mirrorcode — Epoch AImean_score (high)8.889
9thof 34LMArena · SearchScore (Elo)1210
9thof 123Lmca — Epoch AIScore (high)53.82
9thof 110OSWorld-Verified Results (All)Success Rate (Avg±Std)78.3
10thof 15Design Arena · agenticslides (agents)Elo1112
10thof 15Design Arena · agenticslides(python-pptx) (agents)Elo1107
10thof 13Design Arena · pptxslides (agents)Elo1110
10thof 161Dtbench — Epoch AIAccuracy (high)95.47
11thof 12Posttrainbench — Epoch AIAverage (%)0.22
13thof 24Blueprint bench 2 — Epoch AIScore26.464
13thof 21Ebr bench — Epoch AImean_score14.286
14thof 92Design Arena · asciiart (models)Elo1288
14thof 109Design Arena · svg (models)Elo1311
14thof 38Gso — Epoch AIScore OPT@10.226
14thof 17terminal-bench@2.1Accuracy65.8
15thof 402LMArena · TextScore (Elo)1487
16thof 72Frontiermath tier 4 — Epoch AImean_score16.7
17thof 28τ³-Banking LeaderboardPass^126
18thof 101FrontierMath (Tiers 1-3)mean_score36.9
18thof 46LMArena · AgentNet Improvement (%)5.81
19thof 23Gbaeval — Epoch AIOverall score0.008
19thof 39Gdp pdf — Epoch AIGDP.pdf score0.17
19thof 127Mystery game puzzles — Epoch AImean_score (high)34
22ndof 216ARC-AGI-2 (Public Eval)Score (%)88.07
22ndof 65Apex agents — Epoch AIPass@1 score0.335
22ndof 41Deepresearchbench — Epoch AIAverage score (high)0.478
24thof 36Design Arena · htmlslides (agents)Elo1155
25thof 205ARC-AGI-1 (Public Eval)Score (%)97.24
25thof 39ARC-AGI-3 (Semi-Private)Score (%)0.42
26thof 152LMArena · VisionScore (Elo)1279
28thof 106Frontiermath tiers 1 3 v2 — Epoch AImean_score59.649
29thof 232ARC-AGI-2 (Semi-Private)Score (%)77.08
29thof 170Weirdml — Epoch AIAccuracy72.07
30thof 150Design Arena · uicomponent (models)Elo1295
30thof 290OTIS Mock AIME 2024-2025mean_score95.6
31stof 64Proofbench — Epoch AIAccuracy26
33rdof 227Arc agi 2 — Epoch AIScore77.1
33rdof 62Frontiermath tier 4 v2 — Epoch AImean_score26.829
34thof 112Ale bench — Epoch AIPerformance1160.6
36thof 40Design Arena · agenticgamedev (agents)Elo1114
38thof 43Design Arena · python-pptxslides (agents)Elo1109
41stof 147Design Arena · 3d (models)Elo1263
42ndof 177Critpt — Epoch AIAccuracy17.714
45thof 62Design Arena · webapps (agents)Elo1141
46thof 152Design Arena · dataviz (models)Elo1254
47thof 64Design Arena · fullstack (agents)Elo1078
47thof 60Vending bench 2 — Epoch AIScore911.214
48thof 81Forecastbench — Epoch AIOverall score59
49thof 55Design Arena · androidnative (agents)Elo1064
49thof 162Design Arena · website (models)Elo1265
50thof 156Design Arena · codecategories (models)Elo1259
51stof 63Design Arena · mobileapps (agents)Elo1121
53rdof 184Artificial Analysis · Coding IndexIndex68.8
57thof 128LMArena · WebDevScore (Elo)1447
58thof 121Webdev arena — Epoch AIArena Score1446.46
59thof 105Vectara Hallucination LeaderboardHallucination Rate10.4
61stof 155Design Arena · gamedev (models)Elo1226
67thof 69Deepswe — Epoch AIPass@10.117
70thof 302Artificial Analysis · Intelligence IndexArtificial Analysis Intelligence Index30
91stof 143Artificial Analysis · Agentic IndexIndex10.3
138thof 656Epoch capabilities index — Epoch AIECI Score (high)154.9

About

Gemini 3.1 Pro Preview — a text model from Google, sold by 11 companies from $2 in and $12 out per million tokens, placed 1st of 262 on MMLU-Pro.

It takes text, images and files and returns text, with a context window of 1,000,000 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. Eleven companies sell it. The cheapest is $2 in and $12 out per million tokens at DeepInfra. Beside the standard rate there are batch, flex, separately routed, faster and regional lanes. It has been measured on 84 boards, and stands best at 1st of 262 on MMLU-Pro.

Every current figure

Maker
Google
Register
model
Takes
text + image + file
Returns
text
Context
1,000,000 tokens
Longest answer
65,536 tokens
Published
February 2026
Knowledge to
January 2025
Licence
not read
Sellers
11
Price
$2 in and $12 out per million tokens — DeepInfra
Boards
84
Best place
1st of 262 — MMLU-Pro

Known as 17 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-progoogle/gemini-3.1-pro-previewgoogle/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 (batch)