GPT-4.1 nano
OpenAIGPTProprietary
Description
GPT-4.1 nano is OpenAI's fastest and cheapest model available in the GPT-4.1 family. It delivers exceptional performance at a small size with its 1 million token context window. Ideal for tasks like classification or autocompletion.
Date de sortie
2025-04-14
Paramètres
—
Longueur du contexte
1.0M
Modalités
image, text
Radar de capacités
26
general
20
coding
36
reasoning
33
science
10
agents
85
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Classement codage | 445 | 18.0 | AA |
| Classement général | 442 | 29.0 | AA |
| Classement multimodal | 77 | 29.0 | LS |
| Science | 418 | 32.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
50.3%Aut.
Code
Aider-Polyglot
9.8%Aut.
Aider-Polyglot Edit
6.2%Aut.
Communication
Multi-IF
57.2%Aut.
TAU-bench Retail
22.6%Aut.
Multi-Challenge
15.0%Aut.
TAU-bench Airline
14.0%Aut.
Finance
MMLU
80.1%Aut.
General
IFEvalGoogle Research (2023)
74.5%Aut.
MMMLU
66.9%Aut.
MMMU
55.4%Aut.
Internal API instruction following (hard)
31.6%Aut.
Language
COLLIE
42.5%Aut.
Long Context
OpenAI-MRCR: 2 needle 128k
36.6%Aut.
OpenAI-MRCR: 2 needle 1M
12.0%Aut.
ComplexFuncBench
5.7%Aut.
Graphwalks parents >128k
5.6%Aut.
Graphwalks BFS >128k
2.9%Aut.
Math
MathVista
56.2%Aut.
AIME 2024
29.4%Aut.
Multimodal
CharXiv-D
73.9%Aut.
CharXiv-R
40.5%Aut.
Reasoning
Graphwalks BFS <128k
25.0%Aut.
Graphwalks parents <128k
9.4%Aut.
Indices d'évaluation AA
(Artificial Analysis)Math Index(Artificial Analysis)24.0
Coding Index(Artificial Analysis)11.1
Intelligence Index(Artificial Analysis)9.6
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.7
Gpqa(NYU + Cohere + Anthropic (2023))0.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.3
Ifbench(Google Research (2023))0.3
Scicode(UIUC + Argonne National Lab (2024))0.3
Aime 25(MAA (Mathematical Association of America))0.2
Aime(MAA (Mathematical Association of America))0.2
Lcr(Artificial Analysis)0.2
Tau2(Sierra + U Toronto + Vector Institute (2025))0.2
Hle(Center for AI Safety + Scale AI (2025))0.0
Terminalbench Hard(Stanford × Laude Institute (2026))0.0
Terminalbench V2 10.0
Tau Banking0.0
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Legal80
Finance80
Instruction Following70
Healthcare70
Math60
Multimodal60
Language60
Vision60
Physics50
Structured Output50
Biology50
Chemistry50
Writing40
Reasoning30
General30
Communication30
Long Context10
Spatial Reasoning10
Code10
Tool Calling10
Tarification
Prix d'entrée$0.1 / 1M tokens
Prix de sortie$0.4 / 1M tokens
Prix mixte (3:1)$0.175 / 1M tokens
Prix de lecture cache$0.025 / 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: OpenAIPlus cher: Cortecs
FournisseurEntréeSortie
1OpenAIMoins cher
$0
$0
2SAP AI Core
$0.08
$0.26
3Poe
$0.09
$0.36
4Helicone
$0.1
$0.4
5302.AI
$0.1
$0.4
6NanoGPT
$0.1
$0.4
7Abacus
$0.1
$0.4
8OpenRouter
$0.1
$0.4
9Kilo Gateway
$0.1
$0.4
10Azure Cognitive Services
$0.1
$0.4
11Vercel AI Gateway
$0.1
$0.4
12LLM Gateway
$0.1
$0.4
13Azure
$0.1
$0.4
14NEAR AI Cloud
$0.1
$0.4
15OrcaRouter
$0.1
$0.4
16Merge Gateway
$0.1
$0.4
17Pioneer
$0.1
$0.4
18Impossibl
$0.1
$0.4
19Cortecs
$0.111
$0.434
Comparer les prix entre différents fournisseurs API pour ce modèle.