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GPT-4.1 mini

OpenAIGPTProprietary

Description

GPT-4.1 mini provides a balance between intelligence, speed, and cost. It's a significant leap in small model performance, even beating GPT-4o in many benchmarks while reducing latency and cost.

Date de sortie
2025-04-14
Paramètres
—
Longueur du contexte
1.0M
Modalités
image, pdf, text

Radar de capacités

30
general
31
coding
54
reasoning
48
science
50
agents
85
multimodal

Classements

Domaine#RangScoreSource
Classement codage398
33.0
AA
Classement général341
40.0
AA
Classement multimodal77
52.0
LS
Science404
36.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Chat

IFEvalGoogle Research (2023)84.1%Aut.
Multi-IF67.0%Aut.
TAU-bench Retail55.8%Aut.
Multi-Challenge35.8%Aut.

General

MMLU87.5%Aut.
Internal API instruction following (hard)45.1%Aut.
Aider-Polyglot34.7%Aut.
Aider-Polyglot Edit31.6%Aut.

Language

MMMLU78.5%Aut.
COLLIE54.6%Aut.

Long Context

ComplexFuncBench49.3%Aut.
OpenAI-MRCR: 2 needle 128k47.2%Aut.
OpenAI-MRCR: 2 needle 1M33.3%Aut.

Math

MathVista73.1%Aut.
AIME 202449.6%Aut.
AIME 202540.2%Aut.
HMMT 202535.0%Aut.

Multimodal

MMMU72.7%Aut.

Reasoning

CharXiv-D88.4%Aut.
GPQANYU + Cohere + Anthropic (2023)65.0%Aut.
Graphwalks BFS <128k61.7%Aut.
Graphwalks parents <128k60.5%Aut.
CharXiv-R56.8%Aut.
TAU-bench Airline36.0%Aut.
SWE-Bench Verified23.6%Aut.
Graphwalks BFS >128k15.0%Aut.
Graphwalks parents >128k11.0%Aut.
Humanity's Last Exam3.7%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
92.5
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
78.1
Gpqa(NYU + Cohere + Anthropic (2023))
66.4
Tau2(Sierra + U Toronto + Vector Institute (2025))
52.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))
48.3
Aime 25(MAA (Mathematical Association of America))
46.3
Math Index(Artificial Analysis)
46.3
Lcr(Artificial Analysis)
44.0
Aime(MAA (Mathematical Association of America))
43.0
Ifbench(Google Research (2023))
38.3
Coding Index(Artificial Analysis)
20.2
Intelligence Index(Artificial Analysis)
10.2
Terminalbench V2 1
10.1
Terminalbench Hard(Stanford × Laude Institute (2026))
7.6
Tau Banking
5.4
Hle(Center for AI Safety + Scale AI (2025))
5.0

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Legal
90
Finance
90
Instruction Following
80
Healthcare
80
Language
70
Multimodal
70
Physics
70
Structured Output
70
Biology
70
Chemistry
70
Chat
60
Vision
60
Math
50
Reasoning
50
General
50
Communication
50
Tool Calling
50
Writing
50
Spatial Reasoning
40
Long Context
30
Code
30
Frontend Development
20

Tarification

Prix d'entrée$0.4 / 1M tokens
Prix de sortie$1.6 / 1M tokens
Prix mixte (3:1)$0.7 / 1M tokens
Prix de lecture cache$0.1 / 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

24 fournisseurs

Moins cher: OpenAIPlus cher: Cortecs
FournisseurEntréeSortie
1OpenAIMoins cher
$0
$0
2Ofox
$0.32
$1.28
3Poe
$0.36
$1.4
4Helicone
$0.4
$1.6
5302.AI
$0.4
$1.6
6NanoGPT
$0.4
$1.6
7Abacus
$0.4
$1.6
8OpenRouter
$0.4
$1.6
9Kilo Gateway
$0.4
$1.6
10SAP AI Core
$0.4
$1.6
11Cloudflare AI Gateway
$0.4
$1.6
12Azure Cognitive Services
$0.4
$1.6
13Vercel AI Gateway
$0.4
$1.6
14DevPass (LLM Gateway)
$0.4
$1.6
15Azure
$0.4
$1.6
16NEAR AI Cloud
$0.4
$1.6
17OrcaRouter
$0.4
$1.6
18Merge Gateway
$0.4
$1.6
19Pioneer
$0.4
$1.6
20Impossibl
$0.4
$1.6
21Eden AI
$0.4
$1.6
22LLM Gateway
$0.4
$1.6
23Aixy
$0.4
$1.6
24Cortecs
$0.434
$1.704

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes