Pass IndexThe State of AISign in

GPT-5.1

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5.

text + image + file → text · made by OpenAI

$1.25→$10per Mtok in / out
OpenAI · 8 sellers

Sold by 26 ways

SellerLaneRate
Microsoft Azure AI cloudbatch$0.69per Mtok in$5.5per Mtok out$0.062per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Databricks cloudstandard$1.25per Mtok in$10per Mtok out$0.12per Mtok cached$1.25per Mtok cache writemodels.dev · read 2026-10-31
Microsoft Azure AI cloudstandard$1.25per Mtok in$10per Mtok out$0.12per Mtok cachedmodels.dev · read 2026-10-31
OpenAI apistandard$1.25per Mtok in$10per Mtok out$0.12per Mtok cacheddevelopers.openai.com · read 2026-08-24
Databricks cloudpriority$2.5per Mtok in$20per Mtok out$0.25per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Microsoft Azure AI cloudpriority$2.75per Mtok in$22per Mtok out$0.28per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Requesty 2 ways$0.56per Mtok in$4.5per Mtok out$0.056per Mtok cached
Requesty aggregatornot on the seller's list todayopenai flex$0.56per Mtok in$4.5per Mtok out$0.056per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayopenai-responses flex$0.56per Mtok in$4.5per Mtok out$0.056per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayazure eastus2$1.12per Mtok in$9per Mtok out$0.11per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayazure francecentral$1.24per Mtok in$9.9per Mtok out$0.12per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayazure swedencentral$1.24per Mtok in$9.9per Mtok out$0.12per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatorazure$1.25per Mtok in$10per Mtok out$0.12per Mtok cachedrouter.requesty.ai · read 2026-10-10
Requesty aggregatoropenai$1.25per Mtok in$10per Mtok out$0.12per Mtok cachedrouter.requesty.ai · read 2026-10-10
Requesty aggregatornot on the seller's list todayopenai-responses$1.25per Mtok in$10per Mtok out$0.12per Mtok cachedrouter.requesty.ai · read 2026-09-11
Nous Research 2 ways$1.25per Mtok in$10per Mtok out$0.12per Mtok cached
Nous Research aggregatorbatch$0.62per Mtok in$5per Mtok out$0.062per Mtok cachedinference-api.nousresearch.com · read 2026-09-12
Nous Research aggregatorstandard$1.25per Mtok in$10per Mtok out$0.12per Mtok cachedinference-api.nousresearch.com · read 2026-09-12
OpenRouter 6 ways$1.25per Mtok in$10per Mtok out$0.12per Mtok cached
OpenRouter aggregatorbatch$0.62per Mtok in$5per Mtok out$0.062per Mtok cachedopenrouter.ai · read 2026-08-24
OpenRouter aggregatornot on the seller's list todayopenai/default/flex$0.62per Mtok in$5per Mtok out$0.062per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatoropenai/flex$0.62per Mtok in$5per Mtok out$0.062per Mtok cachedopenrouter.ai · read 2026-08-26
OpenRouter aggregatorstandard$1.25per Mtok in$10per Mtok out$0.12per Mtok cachedopenrouter.ai · read 2026-08-24
OpenRouter aggregatorazure$1.25per Mtok in$10per Mtok out$0.13per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatorazure/swedencentral$1.38per Mtok in$11per Mtok out$0.14per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatornot on the seller's list todayopenai/default/priority$2.5per Mtok in$20per Mtok out$0.25per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatoropenai/fast$2.5per Mtok in$20per Mtok out$0.25per Mtok cachedopenrouter.ai · read 2026-08-26
ElectronHub aggregatorstandard$1.25per Mtok in$10per Mtok outapi.electronhub.ai · read 2026-10-31
RedPill aggregatorstandard$1.25per Mtok in$10per Mtok outapi.redpill.ai · read 2026-09-20

Measured 43 standings

PlaceBoardMetricScore
2ndof 23Cl bench — Epoch AIOverall (high)0.237
2ndof 54Live bench — Epoch AIGlobal average (high)78.79
4thof 17Cl bench life — Epoch AIOverall (high)0.173
7thof 38Vpct — Epoch AICorrect (high)0.587
13thof 46Enigma eval — Epoch AIAccuracy11.23
14thof 34LMArena · SearchScore (Elo)1199
19thof 56Humanity's Last Exam (Epoch AI replication)Accuracy23.68
22ndof 42Gso — Epoch AIScore OPT@10.137
24thof 101FrontierMath (Tiers 1-3)mean_score (high)31.034
24thof 72Frontiermath tier 4 — Epoch AImean_score (high)12.5
27thof 35Swe bench verified — Epoch AImean_score (high)67.975
34thof 41Deepresearchbench — Epoch AIAverage score (low)0.428
34thof 93Simpleqa verified — Epoch AImean_score (high)48
36thof 154Chess puzzles — Epoch AImean_score (high)42
45thof 102Simplebench — Epoch AIScore (AVG@5) (high)0.532
46thof 132Ale bench — Epoch AIPerformance (high)1192.15
49thof 173Weirdml — Epoch AIAccuracy (high)60.77
52ndof 165LMArena · VisionScore (Elo) (high)1251
54thof 71Vending bench 2 — Epoch AIScore1473.432
62ndof 92Forecastbench — Epoch AIOverall score62.3
67thof 142Mystery game puzzles — Epoch AImean_score (low)19
68thof 414LMArena · TextScore (Elo) (high)1456
74thof 114Design Arena · svg (models)Elo1146
74thof 111Vectara Hallucination LeaderboardHallucination Rate10.9
75thof 202Terminalbench — Epoch AIAccuracy mean (medium)0.476
76thof 326GPQA Diamondmean_score (high)87.626
78thof 93Design Arena · asciiart (models)Elo1116
79thof 154Design Arena · dataviz (models)Elo1204
82ndof 235Dtbench — Epoch AIAccuracy (high)90.13
84thof 163Artificial Analysis · Coding IndexIndex49.4
86thof 162Design Arena · gamedev (models)Elo1177
86thof 306OTIS Mock AIME 2024-2025mean_score (high)88.611
91stof 135Webdev arena — Epoch AIArena Score (medium)1392.03
93rdof 141LMArena · WebDevScore (Elo) (medium)1395
98thof 157Design Arena · uicomponent (models)Elo1161
98thof 169Design Arena · website (models)Elo1185
98thof 197Lmca — Epoch AIScore (high)43.89
99thof 163Design Arena · codecategories (models)Elo1169
121stof 150Design Arena · 3d (models)Elo1058
138thof 260Critpt — Epoch AIAccuracy4.857
155thof 309Arc agi — Epoch AIScore (high)72.83
161stof 290Arc agi 2 — Epoch AIScore (high)17.64
162ndof 235Scicode — Epoch AIScore43.287

About

GPT-5.1 — a text model from OpenAI, sold by 8 companies from $1.25 in and $10 out per million tokens, placed 2nd of 54 on Live bench — Epoch AI.

It takes text, images and files and returns text, with a context window of 400,000 tokens. It was published in 2025, trained on material up to September 2024. Its sellers say it can reason step by step and call a tool. The catalogue files it under extract, reasoning, code and agents. Eight companies sell it. The cheapest is $1.25 in and $10 out per million tokens at Databricks. Beside the standard rate there are faster, batch, separately routed, regional and flex lanes. It has been measured on 43 boards, and stands best at 2nd of 54 on Live bench — Epoch AI.

Every current figure

Maker
OpenAI
Register
model
Takes
text + image + file
Returns
text
Context
400,000 tokens
Published
2025
Knowledge to
September 2024
Licence
not read
Sellers
8
Price
$1.25 in and $10 out per million tokens — Databricks
Boards
43
Best place
2nd of 54 — Live bench — Epoch AI

Known as 15 names

GPT-5.1 (high)gpt-5.1-searchGPT 5.1 medium5.1GPT 5.1openai/gpt-5.1openai/gpt-5.1:batchazure/gpt-5.1azure/gpt-5.1@eastus2azure/gpt-5.1@francecentralazure/gpt-5.1@swedencentralopenai-responses/gpt-5.1openai-responses/gpt-5.1:flexopenai/gpt-5.1:flexOpenAI: GPT-5.1 (batch)