o4-mini (high)
OpenAIOpenAI o-seriesProprietary
Description
o4-mini is OpenAI's latest small o-series model, optimized for fast, effective reasoning with exceptionally efficient performance in coding and visual tasks. It is faster and more affordable than o3.
Date de sortie
2025-04-16
Paramètres
—
Longueur du contexte
200K
Modalités
image, text
Radar de capacités
37
general
86
coding
92
reasoning
59
science
60
agents
85
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Classement codage | 221 | 62.0 | AA |
| Classement général | 189 | 55.0 | AA |
| Classement multimodal | 38 | 60.0 | LS |
| Science | 234 | 53.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Chat
TAU-bench Retail
71.8%Aut.
Multi-Challenge
43.0%Aut.
General
Aider-Polyglot
68.9%Aut.
Aider-Polyglot Edit
58.2%Aut.
Math
AIME 2024
93.4%Aut.
AIME 2025
92.7%Aut.
MathVista
84.3%Aut.
Multimodal
MMMU
81.6%Aut.
Reasoning
GPQANYU + Cohere + Anthropic (2023)
81.4%Aut.
CharXiv-R
72.0%Aut.
SWE-Bench Verified
68.1%Aut.
BrowseCompOpenAI (2025)
51.5%Aut.
TAU-bench Airline
49.2%Aut.
Humanity's Last Exam
14.7%Aut.
Indices d'évaluation AA
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))98.9
Aime(MAA (Mathematical Association of America))94.0
Math Index(Artificial Analysis)90.7
Aime 25(MAA (Mathematical Association of America))90.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))85.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))83.2
Gpqa(NYU + Cohere + Anthropic (2023))78.4
Ifbench(Google Research (2023))68.7
Lcr(Artificial Analysis)61.0
Tau2(Sierra + U Toronto + Vector Institute (2025))55.6
Intelligence Index(Artificial Analysis)16.7
Hle(Center for AI Safety + Scale AI (2025))16.5
Terminalbench Hard(Stanford × Laude Institute (2026))15.2
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Multimodal80
Physics80
Healthcare80
Biology80
Chemistry80
Math70
Reasoning70
Frontend Development70
General70
Code70
Chat60
Tool Calling60
Vision60
Search50
Agents50
Communication50
Tarification
Prix d'entrée$1.1 / 1M tokens
Prix de sortie$4.4 / 1M tokens
Prix mixte (3:1)$1.925 / 1M tokens
Prix de lecture cache$0.275 / 1M tokens
Vitesse
Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s
Classement des Prix par Fournisseur
Classement des Prix par Fournisseur
19 fournisseurs
Moins cher: PoePlus cher: LLM Gateway
FournisseurEntréeSortie
1PoeMoins cher
$0.99
$4
2OpenAIPRINCIPAL
$1.1
$4.4
3NanoGPT
$1.1
$4.4
4Abacus
$1.1
$4.4
5OpenRouter
$1.1
$4.4
6Jiekou.AI
$1.1
$4.4
7Kilo Gateway
$1.1
$4.4
8Cloudflare AI Gateway
$1.1
$4.4
9Helicone
$1.1
$4.4
10AIHubMix
$1.1
$4.4
11Azure Cognitive Services
$1.1
$4.4
12Vercel AI Gateway
$1.1
$4.4
13DevPass (LLM Gateway)
$1.1
$4.4
14Azure
$1.1
$4.4
15NEAR AI Cloud
$1.1
$4.4
16Merge Gateway
$1.1
$4.4
17Impossibl
$1.1
$4.4
18Eden AI
$1.1
$4.4
19LLM Gateway
$1.1
$4.4
Comparer les prix entre différents fournisseurs API pour ce modèle.