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GPT-5 mini

GPT-5 mini is a cost optimized model that excels at reasoning/chat tasks.

text + image + file → text · made by OpenAI

$0.25→$2per Mtok in / out
OpenAI · 14 sellers

Sold by 30 ways

SellerLaneRate
Microsoft Azure AI cloudbatch$0.14per Mtok in$1.1per Mtok out$0.013per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Databricks cloudstandard$0.25per Mtok in$2per Mtok out$0.025per Mtok cached$0.25per Mtok cache writemodels.dev · read 2026-10-31
DigitalOcean cloudstandard$0.25per Mtok in$2per Mtok out$0.025per Mtok cachedmodels.dev · read 2026-10-31
Microsoft Azure AI cloudstandard$0.25per Mtok in$2per Mtok out$0.025per Mtok cachedmodels.dev · read 2026-10-31
OpenAI apistandard$0.25per Mtok in$2per Mtok out$0.025per Mtok cacheddevelopers.openai.com · read 2026-08-24
Oracle Cloud Infrastructure cloudstandard$0.25per Mtok in$2per Mtok outraw.githubusercontent.com · read 2026-10-31
Snowflake Cortex cloudstandard$0.3per Mtok in$1.2per Mtok outraw.githubusercontent.com · read 2026-10-31
Databricks cloudpriority$0.45per Mtok in$3.6per Mtok out$0.045per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Microsoft Azure AI cloudpriority$0.49per Mtok in$3.96per Mtok out$0.05per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Requesty 2 ways$0.11per Mtok in$0.9per Mtok out$0.011per Mtok cached
Requesty aggregatornot on the seller's list todayopenai flex$0.11per Mtok in$0.9per Mtok out$0.011per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatoropenai$0.12per Mtok in$1per Mtok out$0.013per Mtok cachedrouter.requesty.ai · read 2026-10-09
Requesty aggregatornot on the seller's list todayazure eastus2$0.23per Mtok in$1.8per Mtok out$0.022per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayazure francecentral$0.25per Mtok in$1.98per Mtok out$0.025per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayazure swedencentral$0.25per Mtok in$1.98per Mtok out$0.025per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayazure uksouth$0.25per Mtok in$1.98per Mtok out$0.025per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatorazure$0.25per Mtok in$2per Mtok out$0.025per Mtok cachedrouter.requesty.ai · read 2026-10-09
Requesty aggregatornot on the seller's list todayopenai-responses$0.25per Mtok in$2per Mtok out$0.025per Mtok cachedrouter.requesty.ai · read 2026-08-28
Requesty aggregatornot on the seller's list todayopenai priority$0.41per Mtok in$3.24per Mtok out$0.041per Mtok cachedrouter.requesty.ai · read 2026-08-25
Nous Research 2 ways$0.25per Mtok in$2per Mtok out$0.025per Mtok cached
Nous Research aggregatorbatch$0.12per Mtok in$1per Mtok out$0.013per Mtok cachedinference-api.nousresearch.com · read 2026-09-12
Nous Research aggregatorstandard$0.25per Mtok in$2per Mtok out$0.025per Mtok cachedinference-api.nousresearch.com · read 2026-09-12
OpenRouter 5 ways$0.25per Mtok in$2per Mtok out$0.025per Mtok cached
OpenRouter aggregatorbatch$0.12per Mtok in$1per Mtok out$0.013per Mtok cachedopenrouter.ai · read 2026-08-24
OpenRouter aggregatoropenai/flex$0.12per Mtok in$1per Mtok out$0.013per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatorstandard$0.25per Mtok in$2per Mtok out$0.025per Mtok cachedopenrouter.ai · read 2026-08-24
OpenRouter aggregatorazure$0.25per Mtok in$2per Mtok out$0.03per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatorazure/swedencentral$0.28per Mtok in$2.2per Mtok out$0.033per Mtok cachedopenrouter.ai · read 2026-08-25
ElectronHub aggregatorstandard$0.25per Mtok in$2per Mtok outapi.electronhub.ai · read 2026-10-31
GitHub Copilot aggregatorstandard$0.25per Mtok in$2per Mtok out$0.025per Mtok cachedmodels.dev · read 2026-10-31
Inference.net aggregatorstandard$0.25per Mtok in$2per Mtok out$0.025per Mtok cachedapi.inference.net · read 2026-10-31
RedPill aggregatorstandard$0.25per Mtok in$2per Mtok outapi.redpill.ai · read 2026-09-20
Vercel AI Gateway aggregatorstandard$0.25per Mtok in$2per Mtok out$0.025per Mtok cachedai-gateway.vercel.sh · read 2026-08-25

Measured 46 standings

PlaceBoardMetricScore
3rdof 108Math level 5 — Epoch AImean_score (high)97.847
10thof 49Lech mazur writing — Epoch AIMean score (medium)8.31
15thof 18Algotune — Epoch AIScore (high)1.38
17thof 46Enigma eval — Epoch AIAccuracy8.193
17thof 38Vpct — Epoch AICorrect (medium)0.402
19thof 42Fictionlivebench — Epoch AI120k token score (medium)0.625
22ndof 56Humanity's Last Exam (Epoch AI replication)Accuracy19.44
28thof 101FrontierMath (Tiers 1-3)mean_score (high)27.241
29thof 35Swe bench verified — Epoch AImean_score (medium)64.669
31stof 72Frontiermath tier 4 — Epoch AImean_score (high)6.25
47thof 92Forecastbench — Epoch AIOverall score63.3
57thof 122Frontiermath tiers 1 3 v2 — Epoch AImean_score (high)46.667
65thof 78Frontiermath tier 4 v2 — Epoch AImean_score (high)12.195
65thof 173Weirdml — Epoch AIAccuracy (high)52.67
70thof 84Proofbench — Epoch AIAccuracy (high)9
71stof 71Vending bench 2 — Epoch AIScore-31.184
76thof 93Design Arena · asciiart (models)Elo1122
77thof 93Simpleqa verified — Epoch AImean_score (high)21.6
78thof 132Ale bench — Epoch AIPerformance (high)799.77
81stof 154Chess puzzles — Epoch AImean_score (high)24
90thof 111Vectara Hallucination LeaderboardHallucination Rate12.9
92ndof 114Design Arena · svg (models)Elo1088
95thof 131Artificial Analysis · Agentic IndexIndex6.8
97thof 306OTIS Mock AIME 2024-2025mean_score (high)86.667
103rdof 165LMArena · VisionScore (Elo) (high)1183
114thof 162Design Arena · gamedev (models)Elo1128
115thof 142Mystery game puzzles — Epoch AImean_score (minimal)10
117thof 154Design Arena · dataviz (models)Elo1131
119thof 157Design Arena · uicomponent (models)Elo1101
122ndof 202Terminalbench — Epoch AIAccuracy mean0.348
126thof 150Design Arena · 3d (models)Elo1034
126thof 169Design Arena · website (models)Elo1124
128thof 163Design Arena · codecategories (models)Elo1113
130thof 197Lmca — Epoch AIScore (high)34.2
131stof 235Dtbench — Epoch AIAccuracy (high)80.53
142ndof 163Artificial Analysis · Coding IndexIndex15.6
165thof 326GPQA Diamondmean_score (high)75
172ndof 282ARC-AGI-2 (Public Eval)Score (%) (high)5.83
175thof 273ARC-AGI-1 (Public Eval)Score (%) (high)61.52
175thof 414LMArena · TextScore (Elo) (high)1390
185thof 235Scicode — Epoch AIScore39.236
187thof 298ARC-AGI-1 (Semi-Private)Score (%) (high)54.33
198thof 309Arc agi — Epoch AIScore (high)54.33
201stof 298ARC-AGI-2 (Semi-Private)Score (%) (high)4.44
203rdof 290Arc agi 2 — Epoch AIScore (high)4.44
231stof 260Critpt — Epoch AIAccuracy0

About

GPT-5 mini — a text model from OpenAI, sold by 14 companies from $0.25 in and $2 out per million tokens, placed 3rd of 108 on Math level 5 — 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 May 2024. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning and agents. Fourteen companies sell it. The cheapest is $0.25 in and $2 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 46 boards, and stands best at 3rd of 108 on Math level 5 — Epoch AI.

Every current figure

Maker
OpenAI
Register
model
Takes
text + image + file
Returns
text
Context
400,000 tokens
Published
2025
Knowledge to
May 2024
Licence
not read
Sellers
14
Price
$0.25 in and $2 out per million tokens — Databricks
Boards
46
Best place
3rd of 108 — Math level 5 — Epoch AI

Known as 17 names

GPT-5-mini-2025-08-07 (FC)GPT-5 mini (high)GPT-5-mini5 miniGPT 5 Miniopenai/gpt-5-miniopenai/gpt-5-mini:batchazure/gpt-5-miniazure/gpt-5-mini@eastus2azure/gpt-5-mini@francecentralazure/gpt-5-mini@swedencentralazure/gpt-5-mini@uksouthopenai-responses/gpt-5-miniopenai/gpt-5-mini:flexopenai/gpt-5-mini:priorityopenai/gpt-5-mini-batchOpenAI: GPT-5 Mini (batch)