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o3

OpenAI's o3 is their most powerful reasoning model, setting new state-of-the-art benchmarks in coding, math, science, and visual perception.

text + image + file → text · made by OpenAI

$2→$8per Mtok in / out
OpenAI · 8 sellers

Sold by 13 ways

SellerLaneRate
Microsoft Azure AI cloudbatch$1.1per Mtok in$4.4per Mtok outraw.githubusercontent.com · read 2026-10-31
DigitalOcean cloudstandard$2per Mtok in$8per Mtok out$0.5per Mtok cachedmodels.dev · read 2026-10-31
Microsoft Azure AI cloudstandard$2per Mtok in$8per Mtok out$0.5per Mtok cachedmodels.dev · read 2026-10-31
OpenAI apistandard$2per Mtok in$8per Mtok out$0.5per Mtok cacheddevelopers.openai.com · read 2026-08-24
Requesty aggregatornot on the seller's list todayopenai flex$0.9per Mtok in$3.6per Mtok out$0.23per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatoropenai$2per Mtok in$8per Mtok out$0.5per Mtok cachedrouter.requesty.ai · read 2026-10-10
Nous Research 2 ways$2per Mtok in$8per Mtok out$0.5per Mtok cached
Nous Research aggregatorbatch$1per Mtok in$4per Mtok out$0.25per Mtok cachedinference-api.nousresearch.com · read 2026-09-12
Nous Research aggregatorstandard$2per Mtok in$8per Mtok out$0.5per Mtok cachedinference-api.nousresearch.com · read 2026-09-12
OpenRouter 2 ways$2per Mtok in$8per Mtok out$0.5per Mtok cached
OpenRouter aggregatorbatch$1per Mtok in$4per Mtok out$0.25per Mtok cachedopenrouter.ai · read 2026-08-24
OpenRouter aggregatorstandard$2per Mtok in$8per Mtok out$0.5per Mtok cachedopenrouter.ai · read 2026-08-24
ElectronHub 0 ways$2per Mtok in$8per Mtok out
ElectronHub aggregatornot on the seller's list todaystandard$2per Mtok in$8per Mtok outapi.electronhub.ai · read 2026-10-18
RedPill aggregatorstandard$2per Mtok in$8per Mtok outapi.redpill.ai · read 2026-09-20
Vercel AI Gateway aggregatorstandard$2per Mtok in$8per Mtok out$0.5per Mtok cachedai-gateway.vercel.sh · read 2026-08-25

Measured 45 standings

PlaceBoardMetricScore
1stof 15Cad eval — Epoch AIOverall pass (%) (medium)0.74
1stof 42Fictionlivebench — Epoch AI120k token score (medium)1
5thof 108Math level 5 — Epoch AImean_score (high)97.772
6thof 69Aider polyglot coding leaderboardPercent correct (high)81.3
6thof 72Aider polyglot — Epoch AIPercent correct (high)81.3
6thof 49Lech mazur writing — Epoch AIMean score (medium)8.39
7thof 11Gdpval — Epoch AIWin Rate (%) (medium)0.308
10thof 46Enigma eval — Epoch AIAccuracy (medium)13.09
10thof 38Vpct — Epoch AICorrect (medium)0.52
14thof 23Cl bench — Epoch AIOverall (high)0.178
16thof 49Metr time horizons — Epoch AIaverage_score (medium)0.654
16thof 20Os world — Epoch AIScore (medium)23
21stof 56Humanity's Last Exam (Epoch AI replication)Accuracy (high)20.32
24thof 92Forecastbench — Epoch AIOverall score64.6
25thof 42Gso — Epoch AIScore OPT@1 (high)0.088
26thof 34LMArena · SearchScore (Elo)1144
29thof 93Simpleqa verified — Epoch AImean_score (high)49.4
30thof 41Deepresearchbench — Epoch AIAverage score (medium)0.452
30thof 35Swe bench verified — Epoch AImean_score (medium)62.319
38thof 142Mystery game puzzles — Epoch AImean_score (high)29
45thof 101FrontierMath (Tiers 1-3)mean_score (high)18.685
46thof 154Chess puzzles — Epoch AImean_score (medium)37
47thof 102Simplebench — Epoch AIScore (AVG@5) (high)0.531
58thof 72Frontiermath tier 4 — Epoch AImean_score (high)2.083
66thof 132Ale bench — Epoch AIPerformance (high)933.55
67thof 173Weirdml — Epoch AIAccuracy (high)52.42
74thof 122Frontiermath tiers 1 3 v2 — Epoch AImean_score (high)33.333
81stof 165LMArena · VisionScore (Elo)1216
86thof 154Design Arena · dataviz (models)Elo1200
103rdof 306OTIS Mock AIME 2024-2025mean_score (medium)84.444
108thof 197Lmca — Epoch AIScore (high)39.7
109thof 235Dtbench — Epoch AIAccuracy (high)84.8
110thof 414LMArena · TextScore (Elo)1432
127thof 326GPQA Diamondmean_score (high)81.818
138thof 157Design Arena · uicomponent (models)Elo1011
141stof 298ARC-AGI-1 (Semi-Private)Score (%) (low)75.7
141stof 162Design Arena · gamedev (models)Elo1034
147thof 163Design Arena · codecategories (models)Elo1018
149thof 169Design Arena · website (models)Elo1036
167thof 273ARC-AGI-1 (Public Eval)Score (%) (high)64.25
169thof 260Critpt — Epoch AIAccuracy (high)1.4
181stof 309Arc agi — Epoch AIScore (high)60.83
183rdof 298ARC-AGI-2 (Semi-Private)Score (%) (high)6.53
184thof 290Arc agi 2 — Epoch AIScore (high)6.53
185thof 282ARC-AGI-2 (Public Eval)Score (%) (medium)4.49

About

o3 — a text model from OpenAI, sold by 8 companies from $2 in and $8 out per million tokens, placed 1st of 42 on Fictionlivebench — Epoch AI.

It takes text, images and files and returns text, with a context window of 200,000 tokens. It was published in June 2024, 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, code and agents. Eight companies sell it. The cheapest is $2 in and $8 out per million tokens at DigitalOcean. Beside the standard rate there are batch and separately routed lanes. It has been measured on 45 boards, and stands best at 1st of 42 on Fictionlivebench — Epoch AI.

Every current figure

Maker
OpenAI
Register
model
Takes
text + image + file
Returns
text
Context
200,000 tokens
Longest answer
131,072 tokens
Published
June 2024
Knowledge to
May 2024
Licence
not read
Sellers
8
Price
$2 in and $8 out per million tokens — DigitalOcean
Boards
45
Best place
1st of 42 — Fictionlivebench — Epoch AI

Known as 10 names

o3 (high)o3-2025-04-16 (Prompt)o3 (medium)o3-searchGUIRepair + o3 (2025-04-16)o3 0416openai/o3openai/o3:batchopenai/o3:flexOpenAI: o3 (batch)