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OpenAI o3 Pro

  • OpenAI
  • Released June 10, 2025
  • No public weights listed
  • 200K context

As of October 20, 2026, OpenAI o3 Pro ranks #91 of 213 models overall with 21.9 on the Artificial Analysis Intelligence Index. Its strongest category is coding, where it ranks #7 of 136. OpenAI o3 Pro costs $20.00 per million input tokens and $80.00 per million output tokens. It was released on June 10, 2025.

Its output price ranks 344 of 349 priced models, counting from the cheapest.

  • Coding index 84.9 Thin, 1 benchmark
  • Cost per solved task Not computable No published attempt cost
  • Output, per million tokens $80.00 344 of 349 from the cheapest
  • Input, per million tokens $20.00 OpenRouter list price
  • Context window 200K Tokens per request

About and specs

The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...

API model id openai/o3-pro
  • Tool callingListed
  • Structured outputsListed
  • JSON modeListed
  • Reasoning modeListed
  • Web searchNot listed
Takes in
Text, Files, Images
Gives back
Text
Context window
200K tokens
Max output
100K tokens
Knowledge cutoff
June 30, 2024
Cached input $/Mtok
No cache price listed
Cache write $/Mtok
No cache write price listed
Reasoning $/Mtok
Not priced apart
Web search, per request
$0.01
Tokenizer
GPT
Requests moderated
Yes, by the provider
Withdrawn on
No date announced
Parameters
Not published
Downloads, all time
No public weights
Training compute
No estimate published
Output speed
Not measured
Time to first token
Not measured
Speed on OpenRouter
Not measured
First token on OpenRouter
Not measured

Benchmarks: 11 of 190 measured

The tick on a coding bar is the median of every model measured on it. Outside coding, the place is this model's rank on that board. A board that never ran the model says so.

Coding index

84.9
  • Aider polyglot 84.9% 85 of 100
  • SWE-bench Verified Not measured
  • LiveBench coding Not measured
  • LMArena WebDev Elo, scaled from 1200 to 1900 Not measured

The index averages only the coding benchmarks that have a result; the others are skipped, never filled in. How it is weighted

Other public boards

All rankings

Best placings

  1. Fiction.LiveBench1#1 of 28
  2. Creative writing (Lech Mazur)#4 of 22
  3. WeirdML#35 of 93
  4. GPQA Diamond (Artificial Analysis run)#73 of 175

Lowest placings

  1. ARC-AGI-2#54 of 72
  2. ARC-AGI#52 of 73
  3. Epoch Capabilities Index#61 of 132

Coding1 of 34 boards

Not measured on SWE-bench Lite, SWE-bench (full test set), SWE-bench Multimodal, SWE-bench Multilingual, AA Coding Index, LiveCodeBench (Vals AI), SWE-bench Verified (Vals AI), Terminal-Bench 4 (Vals AI), Vibe Code Bench (Vals AI), Code migration (Vals AI), ProgramBench (Vals AI), IOI (Vals AI), Terminal-Bench 2.1 (Vals AI), SWE-bench Multimodal (Vals AI), Vibe Code Bench 1-100 (Vals AI), SkillsBench (Vals AI), CyberBench (Vals AI), LiveCodeBench (Artificial Analysis run), SciCode, Terminal-Bench Hard (Artificial Analysis run), Terminal-Bench, DeepSWE, FrontierCode, FrontierSWE, GSO-Bench, MirrorCode, Cybench, ALE-Bench, LMArena Text: coding, LMArena Text: software and IT, LMArena WebDev: React, LMArena WebDev: HTML, LMArena WebDev: from an image

Intelligence2 of 2 boards

Agentic work0 of 39 boards

Not measured on AA Agentic Index, Design Arena: agents building web apps, Design Arena: agents building full-stack apps, Design Arena: agents building mobile apps, Design Arena: agents building Android apps, Design Arena: agents building Godot games, Design Arena: agents building games, Design Arena: HTML slides, Design Arena: PowerPoint slides, Design Arena: spreadsheets, LiveBench research, LiveBench browser, LiveBench long agentic, SREBench (Vals AI), Finance Agent (Vals AI), Tax Agent Bench (Vals AI), Legal Research Bench (Vals AI), Harvey's Legal Agent Benchmark (Vals AI), Excel Modeling Benchmark (Vals AI), BioMysteryBench (Vals AI), Terminal-Bench-Science (Vals AI), Vals Science Index, Time Horizon Index (Vals AI), CUA-bench (Vals AI), Robo-bench (Vals AI), τ²-Bench Telecom, APEX-Agents, METR time horizons, Remote Labor Index, GDPval, OSWorld 2.0, BALROG, DeepResearch Bench, PostTrainBench, TheAgentCompany, OSWorld, SpireClimb, Vending-Bench 2, LMArena Search

Reasoning3 of 21 boards

Not measured on GPQA Diamond, LiveBench reasoning, MysteryMechanism (Vals AI), MMMU Pro (Vals AI), Humanity's Last Exam (Artificial Analysis run), GPQA Diamond (Epoch AI run), Humanity's Last Exam, SimpleBench, Chess puzzles, Mystery game puzzles, EBR-bench, VPCT, BIG-Bench Hard, LMArena Text: hard prompts, LMArena Text: expert, LMArena Text: hard prompts in English, LMArena Vision: diagrams, LMArena Vision: homework

Math0 of 13 boards

Not measured on AIME, MATH 500 (Vals AI), MGSM (Vals AI), AA Math Index, AIME 2025 (Artificial Analysis run), OTIS Mock AIME, FrontierMath, tiers 1 to 3, FrontierMath, tier 4, ProofBench, MATH level 5, GSM8K, LMArena Text: math, LMArena Text: mathematical work

Knowledge0 of 17 boards

Not measured on MMLU Pro, LegalBench (Vals AI), CaseLaw (Vals AI), CorpFin (Vals AI), TaxEval (Vals AI), MortgageTax (Vals AI), MedQA (Vals AI), MedCode (Vals AI), MMLU Pro (Artificial Analysis run), SimpleQA Verified, MMLU, GeoBench, AI2 Reasoning Challenge, LMArena Text: science, LMArena Text: medicine and healthcare, LMArena Text: legal and government, LMArena Text: business and finance

Web design0 of 9 boards

Not measured on Design Arena: websites, Design Arena: UI components, Design Arena: game dev, Design Arena: data viz, Design Arena: 3D, Design Arena: all code categories, Design Arena: SVG, Design Arena: ASCII art, LiveBench design

General4 of 46 boards

Not measured on Vals Index, LiveBench data analysis, Public Benefits Bench (Vals AI), SAGE (Vals AI), MedScribe (Vals AI), Vals Multimodal Index, IFBench, Long context reasoning (AA-LCR), CL-bench, Surface Evolver Bench, Furniture assembly, ExploitBench, HellaSwag, WinoGrande, PIQA, CL-bench Life, LMArena Text, LMArena Text: instruction following, LMArena Text: creative writing, LMArena Vision, LMArena Text: English, LMArena Text: non-English, LMArena Text: Chinese, LMArena Text: German, LMArena Text: Japanese, LMArena Text: Korean, LMArena Text: French, LMArena Text: Spanish, LMArena Text: Russian, LMArena Text: Polish, LMArena Text: multi-turn, LMArena Text: longer queries, LMArena Text: writing and language, LMArena Text: entertainment and media, LMArena Vision: English, LMArena Vision: Chinese, LMArena Vision: reading text, LMArena Vision: humor, LMArena Vision: captioning, LMArena Vision: recognizing things, LMArena Vision: creative writing, LMArena Document

Image generation0 of 5 boards

Not measured on Design Arena: images, Design Arena: graphic design, Design Arena: logos, LMArena Text to Image, LMArena Image Edit

Public boards shown as published (Vals AI, Artificial Analysis, Design Arena) and kept out of the coding index. Each links to its source on the benchmark page.

All 190 benchmarks as a table
Benchmark results for OpenAI o3 Pro
BenchmarkResultIndex weight
Aider polyglotCoding 84.9% 35%
SWE-bench VerifiedCoding Not measured 30%
SWE-bench LiteCoding Not measured Not in index
SWE-bench (full test set)Coding Not measured Not in index
SWE-bench MultimodalCoding Not measured Not in index
SWE-bench MultilingualCoding Not measured Not in index
LiveBench codingCoding Not measured 20%
LMArena WebDevCoding Not measured 15%
Vals IndexGeneral Not measured Not in index
GPQA DiamondReasoning Not measured Not in index
AIMEMath Not measured Not in index
MMLU ProKnowledge Not measured Not in index
AA Intelligence IndexIntelligence 21.9 Not in index
AA Coding IndexCoding Not measured Not in index
AA Agentic IndexAgentic work Not measured Not in index
Design Arena: websitesWeb design Not measured Not in index
Design Arena: UI componentsWeb design Not measured Not in index
Design Arena: game devWeb design Not measured Not in index
Design Arena: data vizWeb design Not measured Not in index
Design Arena: 3DWeb design Not measured Not in index
Design Arena: all code categoriesWeb design Not measured Not in index
Design Arena: SVGWeb design Not measured Not in index
Design Arena: ASCII artWeb design Not measured Not in index
Design Arena: agents building web appsAgentic work Not measured Not in index
Design Arena: agents building full-stack appsAgentic work Not measured Not in index
Design Arena: agents building mobile appsAgentic work Not measured Not in index
Design Arena: agents building Android appsAgentic work Not measured Not in index
Design Arena: agents building Godot gamesAgentic work Not measured Not in index
Design Arena: agents building gamesAgentic work Not measured Not in index
Design Arena: HTML slidesAgentic work Not measured Not in index
Design Arena: PowerPoint slidesAgentic work Not measured Not in index
Design Arena: spreadsheetsAgentic work Not measured Not in index
Design Arena: imagesImage generation Not measured Not in index
Design Arena: graphic designImage generation Not measured Not in index
Design Arena: logosImage generation Not measured Not in index
LiveBench reasoningReasoning Not measured Not in index
LiveBench data analysisGeneral Not measured Not in index
LiveBench researchAgentic work Not measured Not in index
LiveBench browserAgentic work Not measured Not in index
LiveBench long agenticAgentic work Not measured Not in index
LiveBench designWeb design Not measured Not in index
LiveCodeBench (Vals AI)Coding Not measured Not in index
SWE-bench Verified (Vals AI)Coding Not measured Not in index
Terminal-Bench 4 (Vals AI)Coding Not measured Not in index
Vibe Code Bench (Vals AI)Coding Not measured Not in index
Code migration (Vals AI)Coding Not measured Not in index
ProgramBench (Vals AI)Coding Not measured Not in index
SREBench (Vals AI)Agentic work Not measured Not in index
IOI (Vals AI)Coding Not measured Not in index
Terminal-Bench 2.1 (Vals AI)Coding Not measured Not in index
SWE-bench Multimodal (Vals AI)Coding Not measured Not in index
Vibe Code Bench 1-100 (Vals AI)Coding Not measured Not in index
SkillsBench (Vals AI)Coding Not measured Not in index
CyberBench (Vals AI)Coding Not measured Not in index
Finance Agent (Vals AI)Agentic work Not measured Not in index
Tax Agent Bench (Vals AI)Agentic work Not measured Not in index
Legal Research Bench (Vals AI)Agentic work Not measured Not in index
Harvey's Legal Agent Benchmark (Vals AI)Agentic work Not measured Not in index
Excel Modeling Benchmark (Vals AI)Agentic work Not measured Not in index
BioMysteryBench (Vals AI)Agentic work Not measured Not in index
Terminal-Bench-Science (Vals AI)Agentic work Not measured Not in index
Vals Science IndexAgentic work Not measured Not in index
Time Horizon Index (Vals AI)Agentic work Not measured Not in index
CUA-bench (Vals AI)Agentic work Not measured Not in index
Robo-bench (Vals AI)Agentic work Not measured Not in index
Public Benefits Bench (Vals AI)General Not measured Not in index
MysteryMechanism (Vals AI)Reasoning Not measured Not in index
MMMU Pro (Vals AI)Reasoning Not measured Not in index
MATH 500 (Vals AI)Math Not measured Not in index
MGSM (Vals AI)Math Not measured Not in index
SAGE (Vals AI)General Not measured Not in index
LegalBench (Vals AI)Knowledge Not measured Not in index
CaseLaw (Vals AI)Knowledge Not measured Not in index
CorpFin (Vals AI)Knowledge Not measured Not in index
TaxEval (Vals AI)Knowledge Not measured Not in index
MortgageTax (Vals AI)Knowledge Not measured Not in index
MedQA (Vals AI)Knowledge Not measured Not in index
MedCode (Vals AI)Knowledge Not measured Not in index
MedScribe (Vals AI)General Not measured Not in index
Vals Multimodal IndexGeneral Not measured Not in index
AA Math IndexMath Not measured Not in index
GPQA Diamond (Artificial Analysis run)Reasoning 84.5% Not in index
Humanity's Last Exam (Artificial Analysis run)Reasoning Not measured Not in index
MMLU Pro (Artificial Analysis run)Knowledge Not measured Not in index
LiveCodeBench (Artificial Analysis run)Coding Not measured Not in index
SciCodeCoding Not measured Not in index
Terminal-Bench Hard (Artificial Analysis run)Coding Not measured Not in index
IFBenchGeneral Not measured Not in index
Long context reasoning (AA-LCR)General Not measured Not in index
τ²-Bench TelecomAgentic work Not measured Not in index
AIME 2025 (Artificial Analysis run)Math Not measured Not in index
Terminal-BenchCoding Not measured Not in index
DeepSWECoding Not measured Not in index
FrontierCodeCoding Not measured Not in index
FrontierSWECoding Not measured Not in index
GSO-BenchCoding Not measured Not in index
WeirdMLCoding 58.2% Not in index
MirrorCodeCoding Not measured Not in index
APEX-AgentsAgentic work Not measured Not in index
METR time horizonsAgentic work Not measured Not in index
Remote Labor IndexAgentic work Not measured Not in index
GDPvalAgentic work Not measured Not in index
OSWorld 2.0Agentic work Not measured Not in index
BALROGAgentic work Not measured Not in index
DeepResearch BenchAgentic work Not measured Not in index
PostTrainBenchAgentic work Not measured Not in index
GPQA Diamond (Epoch AI run)Reasoning Not measured Not in index
ARC-AGIReasoning 59.3% Not in index
ARC-AGI-2Reasoning 4.9% Not in index
Humanity's Last ExamReasoning Not measured Not in index
SimpleBenchReasoning Not measured Not in index
Chess puzzlesReasoning Not measured Not in index
Mystery game puzzlesReasoning Not measured Not in index
EBR-benchReasoning Not measured Not in index
OTIS Mock AIMEMath Not measured Not in index
FrontierMath, tiers 1 to 3Math Not measured Not in index
FrontierMath, tier 4Math Not measured Not in index
ProofBenchMath Not measured Not in index
MATH level 5Math Not measured Not in index
GSM8KMath Not measured Not in index
SimpleQA VerifiedKnowledge Not measured Not in index
MMLUKnowledge Not measured Not in index
GeoBenchKnowledge Not measured Not in index
DTBenchGeneral 86.9% Not in index
LMCAGeneral 38.5% Not in index
Fiction.LiveBenchGeneral 97.2% Not in index
Creative writing (Lech Mazur)General 84.4% Not in index
CL-benchGeneral Not measured Not in index
Surface Evolver BenchGeneral Not measured Not in index
Furniture assemblyGeneral Not measured Not in index
ExploitBenchGeneral Not measured Not in index
CybenchCoding Not measured Not in index
TheAgentCompanyAgentic work Not measured Not in index
OSWorldAgentic work Not measured Not in index
SpireClimbAgentic work Not measured Not in index
VPCTReasoning Not measured Not in index
BIG-Bench HardReasoning Not measured Not in index
AI2 Reasoning ChallengeKnowledge Not measured Not in index
HellaSwagGeneral Not measured Not in index
WinoGrandeGeneral Not measured Not in index
PIQAGeneral Not measured Not in index
CL-bench LifeGeneral Not measured Not in index
ALE-BenchCoding Not measured Not in index
Vending-Bench 2Agentic work Not measured Not in index
Epoch Capabilities IndexIntelligence 147.4 Not in index
LMArena TextGeneral Not measured Not in index
LMArena Text: codingCoding Not measured Not in index
LMArena Text: hard promptsReasoning Not measured Not in index
LMArena Text: mathMath Not measured Not in index
LMArena Text: instruction followingGeneral Not measured Not in index
LMArena Text: creative writingGeneral Not measured Not in index
LMArena VisionGeneral Not measured Not in index
LMArena Text: EnglishGeneral Not measured Not in index
LMArena Text: non-EnglishGeneral Not measured Not in index
LMArena Text: ChineseGeneral Not measured Not in index
LMArena Text: GermanGeneral Not measured Not in index
LMArena Text: JapaneseGeneral Not measured Not in index
LMArena Text: KoreanGeneral Not measured Not in index
LMArena Text: FrenchGeneral Not measured Not in index
LMArena Text: SpanishGeneral Not measured Not in index
LMArena Text: RussianGeneral Not measured Not in index
LMArena Text: PolishGeneral Not measured Not in index
LMArena Text: multi-turnGeneral Not measured Not in index
LMArena Text: longer queriesGeneral Not measured Not in index
LMArena Text: expertReasoning Not measured Not in index
LMArena Text: hard prompts in EnglishReasoning Not measured Not in index
LMArena Text: software and ITCoding Not measured Not in index
LMArena Text: mathematical workMath Not measured Not in index
LMArena Text: scienceKnowledge Not measured Not in index
LMArena Text: medicine and healthcareKnowledge Not measured Not in index
LMArena Text: legal and governmentKnowledge Not measured Not in index
LMArena Text: business and financeKnowledge Not measured Not in index
LMArena Text: writing and languageGeneral Not measured Not in index
LMArena Text: entertainment and mediaGeneral Not measured Not in index
LMArena WebDev: ReactCoding Not measured Not in index
LMArena WebDev: HTMLCoding Not measured Not in index
LMArena WebDev: from an imageCoding Not measured Not in index
LMArena Vision: EnglishGeneral Not measured Not in index
LMArena Vision: ChineseGeneral Not measured Not in index
LMArena Vision: reading textGeneral Not measured Not in index
LMArena Vision: diagramsReasoning Not measured Not in index
LMArena Vision: homeworkReasoning Not measured Not in index
LMArena Vision: humorGeneral Not measured Not in index
LMArena Vision: captioningGeneral Not measured Not in index
LMArena Vision: recognizing thingsGeneral Not measured Not in index
LMArena Vision: creative writingGeneral Not measured Not in index
LMArena SearchAgentic work Not measured Not in index
LMArena DocumentGeneral Not measured Not in index
LMArena Text to ImageImage generation Not measured Not in index
LMArena Image EditImage generation Not measured Not in index

What it costs

A list price says what a token costs. The cost per solved task says what a working answer costs, which is the number that decides.

Output price against the market

o3 Pro pricing
$0.0112Dashed line: median $1.80, log scale$600.00
$80.00 per million output tokens is cheaper than 1% of the 344 paid models in the catalog.

Cost per solved task

How it is computed

Neither board that publishes what a SWE-bench Verified attempt costs, Vals AI and swebench.com, has run this model. We leave the number out rather than estimate it.

Nearly as good as o3 Pro, for less

What the boards say about its runs

Beside a result, many boards publish what the run cost, how long it took, the tokens it spent or the votes behind a rating. Each figure as its board printed it, one board per row.

What each board publishes about the runs behind OpenAI: o3 Pro's results
BoardResultWhat the run costAlso published
Aider polyglot 84.9% $146.32 of the run Solved on the first try 43.6% · Edits well formed 97.8% · Time per exercise 7m 29s · Input tokens, whole run 2.4M · Output tokens, whole run 1.2M
WeirdML 58.2% $2.5404 per run Median lines of code 148
ARC-AGI 59.3% $4.16 per task Nothing else
ARC-AGI-2 4.9% $7.5516 per task Nothing else

On these lists

Compare with models of a similar score

All 135 comparisons for o3 Pro