Models / OpenAI/ o3

o3

OpenAI · released Apr 16, 2025

Input: text, images and documents. Output: text.InputOutput
Type
Closed
Input
$2.00
Output
$8.00
Cached
$0.50

List price · per 1M tokens · OpenAI at 200K context · machine-readable source ↗

Our take

Written Sep 30, 2026

o3 is a hosted-only model with no download, so using it means picking a host. It is strong on set-piece competitive programming and takes long documents in one request, but the human preference boards place it mid-field.

Who should pick it

Reach for it on set-piece competitive programming problems, where it scores 84.7% on LiveCodeBench High, or on long-document work where the 200,000-token request capacity means you need not split files first. It also takes images and files alongside the text. Skip it if you need fixes landed in an existing codebase without review, or if you need a model you can run yourself.

The case for it

  • 84.7% pass on LiveCodeBench High, which covers set-piece algorithmic exercises rather than fixing issues in an existing project.
  • A 200,000-token request capacity means long documents need not be split up first, though reliable recall across all of it is unverified in our data.
  • Text, image and file input with written output, so a screenshot or document does not have to be described in words first.

The case against it

  • Mid-field on the human preference boards: 70th of 168 on Arena Text (overall) as of 25 Sep 2026, and 84th of 168 on Arena Creative Writing as of 25 Sep 2026 — these record which answer people preferred, not whether it was correct.
  • 58.4% of real GitHub issues resolved end-to-end on SWE-bench Verified via mini-SWE-agent, 24th of 42 as of 19 Feb 2026 — a result for the model inside that scaffold, not on its own.
  • We list no download for it, so using it means choosing a host, and both listed hosts charge the same rate.
00

How good is it?

EverydayGeneral questions and everyday reasoning

3 of 5

Arena Text (overall)70th of 168 · 1432

Arena Hard Prompts 79th of 168Arena Maths 50th of 163

CodingWriting and fixing code on its own

3 of 5

Arena Coding83rd of 168 · 1460

LiveCodeBench 2nd of 16

AgenticPlanning, calling tools, staying on task

Scored, not ratedSWE-bench Verified · 24th of 42 · 58.4

Not yet scored on Arena Agent. It is on SWE-bench Verified, in 24th of 42 with 58.4.

WritingDrafting and rewriting prose

2.5 of 5

Arena Creative Writing84th of 168 · 1383

Arena Creative Writing is the only board that has scored it for this.

Other boards it appears on
Arena Instruction Following 86th of 168

These tests check whether a model follows instructions — a precondition for all the work above, but not a measure of how well that work is done.

Every published score for this model8 scoresEvery figure we hold, from 8 boards, with who ran it and a link to the source — including the boards no rating above is built on.
84.7source ↗
1460source ↗
1383source ↗
1441source ↗
1448source ↗
1432source ↗
58.4source ↗
01

Where to rent it

Prices checked between 59 min and 1 hour ago — each listing carries its own date.

Cheapest published offer

OpenAI, direct

The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts OpenAI on 200K of context.

per 1M tokens
$2.00 in / $8.00 out
Context served
200K
Throughput
~71 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouterOpenRouter's own listing$2.00 / $8.00checked 1 hour ago200Knot measuredUnknownUnknownUnknown
OpenAIDirect$2.00 / $8.00checked 59 min ago200K100K max reply71 tok/sNoYesunknown periodUnknown

Across the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 0 appear in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
OpenRouterOpenRouter's own listing✓✓✓
OpenAIDirect✓✓✓

Tool calling: 2 of 2 listings say yes. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.

02

Models people weigh against o3

Other sizes and versionso1
Succeedso1

Compare them field by field →

03

When we formed this view

Recent changes

Sep 28, 2026BenchmarkScored 84.7 via High on LiveCodeBench
What movedleaderboard
Sep 25, 2026BenchmarkScored 1460 on Arena Coding
What movedleaderboard
Sep 25, 2026BenchmarkScored 1383 on Arena Creative Writing
What movedleaderboard
Sep 25, 2026BenchmarkScored 1441 on Arena Hard Prompts
What movedleaderboard
Sep 25, 2026BenchmarkScored 1403 on Arena Instruction Following
What movedleaderboard
Sep 25, 2026BenchmarkScored 1448 on Arena Maths
What movedleaderboard
Sep 25, 2026BenchmarkScored 1432 on Arena Text (overall)
What movedleaderboard
Jul 26, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Jul 26, 2025BenchmarkScored 58.4 via mini-SWE-agent on SWE-bench Verified
What movedleaderboard
Apr 16, 2025Announcedo3 announced by OpenAI

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 2 listings does not say whether it trains on prompts.
  • We hold no batch or off-peak rate for any of its listings.
04

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text, images and documents in, text out
Catalogue slug
openai-o3

Machine-readable model card (omc.json) →

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