o3
OpenAIOpenAI o-seriesProprietary
Description
OpenAI's most powerful reasoning model. o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following. Use it to think through multi-step problems that involve analysis across text, code, and images.
Date de sortie
2025-04-16
Paramètres
—
Longueur du contexte
200K
Modalités
image, pdf, text
Radar de capacités
46
general
72
coding
90
reasoning
56
science
70
agents
85
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Capacité agentique | 133 | 33.0 | LS |
| Classement codage | 71 | 77.0 | AA |
| Classement général | 96 | 71.0 | AA |
| Classement multimodal | 38 | 51.0 | LS |
| Science | 140 | 63.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
Tau-bench
63.0%Aut.
BrowseCompOpenAI (2025)
49.7%Aut.
Biology
GPQANYU + Cohere + Anthropic (2023)
83.3%Aut.
Code
Aider-Polyglot
81.3%Aut.
SWE-Bench Verified
69.1%Aut.
Communication
Tau2 Retail
80.2%Aut.
Tau2 Airline
64.8%Aut.
Multi-Challenge
60.4%Aut.
Tau2 Telecom
58.2%Aut.
General
MMMU
82.9%Aut.
MMMU-Pro
76.4%Aut.
Healthcare
VideoMMMU
83.3%Aut.
Language
COLLIE
98.4%Aut.
Math
AIME 2024
91.6%Aut.
MathVista
86.8%Aut.
AIME 2025
86.4%Aut.
FrontierMath
15.8%Aut.
Humanity's Last Exam
14.7%Aut.
Multimodal
CharXiv-R
78.6%Aut.
Reasoning
ARC-AGI
88.0%Aut.
ERQA
64.0%Aut.
ARC-AGI v2
6.5%
Indices d'évaluation AA
(Artificial Analysis)Math Index(Artificial Analysis)88.3
Intelligence Index(Artificial Analysis)31.1
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))1.0
Aime(MAA (Mathematical Association of America))0.9
Aime 25(MAA (Mathematical Association of America))0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.9
Gpqa(NYU + Cohere + Anthropic (2023))0.8
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.8
Tau2(Sierra + U Toronto + Vector Institute (2025))0.8
Lcr(Artificial Analysis)0.7
Ifbench(Google Research (2023))0.7
Scicode(UIUC + Argonne National Lab (2024))0.4
Terminalbench Hard(Stanford × Laude Institute (2026))0.4
Hle(Center for AI Safety + Scale AI (2025))0.2
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Language100
Writing100
Multimodal80
Physics80
Healthcare80
Biology80
Chemistry80
Code80
Reasoning70
Frontend Development70
General70
Communication70
Tool Calling70
Math60
Agents60
Vision60
Search50
Spatial Reasoning50
Tarification
Prix d'entrée$2 / 1M tokens
Prix de sortie$8 / 1M tokens
Prix mixte (3:1)$3.5 / 1M tokens
Prix de lecture cache$0.5 / 1M tokens
Vitesse
Tokens/sec106.2
Délai du premier token7.90s
Temps de réponse7.90s
Classement des Prix par Fournisseur
Classement des Prix par Fournisseur
16 fournisseurs
Moins cher: PoePlus cher: Jiekou.AI
FournisseurEntréeSortie
1PoeMoins cher
$1.8
$7.2
2OpenAIPRINCIPAL
$2
$8
3NanoGPT
$2
$8
4Abacus
$2
$8
5OpenRouter
$2
$8
6Kilo Gateway
$2
$8
7Cloudflare AI Gateway
$2
$8
8Helicone
$2
$8
9Azure Cognitive Services
$2
$8
10Vercel AI Gateway
$2
$8
11LLM Gateway
$2
$8
12Azure
$2
$8
13NEAR AI Cloud
$2
$8
14Merge Gateway
$2
$8
15Impossibl
$2
$8
16Jiekou.AI
$10
$40
Comparer les prix entre différents fournisseurs API pour ce modèle.