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GPT-4.1 nano

OpenAIGPTProprietary

설명

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.

출시일
2025-04-14
파라미터
—
컨텍스트 길이
1.0M
모달리티
image, text

능력 레이더

25
general
19
coding
36
reasoning
37
science
10
agents
85
multimodal

랭킹

도메인#순위점수소스
코딩 랭킹526
18.0
AA
종합 랭킹514
27.0
AA
멀티모달 랭킹114
40.0
LS
과학507
26.0
AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Chat

IFEvalGoogle Research (2023)74.5%자체 보고
Multi-IF57.2%자체 보고
TAU-bench Retail22.6%자체 보고
Multi-Challenge15.0%자체 보고

General

MMLU80.1%자체 보고
Internal API instruction following (hard)31.6%자체 보고
Aider-Polyglot9.8%자체 보고
Aider-Polyglot Edit6.2%자체 보고

Language

MMMLU66.9%자체 보고
COLLIE42.5%자체 보고

Long Context

OpenAI-MRCR: 2 needle 128k36.6%자체 보고
OpenAI-MRCR: 2 needle 1M12.0%자체 보고
ComplexFuncBench5.7%자체 보고

Math

MathVista56.2%자체 보고
AIME 202429.4%자체 보고

Multimodal

MMMU55.4%자체 보고

Reasoning

CharXiv-D73.9%자체 보고
GPQANYU + Cohere + Anthropic (2023)50.3%자체 보고
CharXiv-R40.5%자체 보고
Graphwalks BFS <128k25.0%자체 보고
TAU-bench Airline14.0%자체 보고
Graphwalks parents <128k9.4%자체 보고
Graphwalks parents >128k5.6%자체 보고
Graphwalks BFS >128k2.9%자체 보고

AA 평가 지수

(Artificial Analysis)
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
84.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
65.7
Gpqa(NYU + Cohere + Anthropic (2023))
51.2
Livecodebench(UC Berkeley + MIT + Cornell (2024))
32.6
Ifbench(Google Research (2023))
32.0
Math Index(Artificial Analysis)
24.0
Aime 25(MAA (Mathematical Association of America))
24.0
Aime(MAA (Mathematical Association of America))
23.7
Lcr(Artificial Analysis)
20.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
17.3
Coding Index(Artificial Analysis)
11.1
Intelligence Index(Artificial Analysis)
7.8
Hle(Center for AI Safety + Scale AI (2025))
3.8
Terminalbench Hard(Stanford × Laude Institute (2026))
3.8
Terminalbench V2 1
3.7
Tau Banking
3.5

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))
Legal
80
Finance
80
Instruction Following
70
Healthcare
70
Language
60
Math
60
Multimodal
60
Vision
60
Physics
50
Structured Output
50
Biology
50
Chemistry
50
Chat
40
Writing
40
Reasoning
30
General
30
Communication
30
Long Context
10
Spatial Reasoning
10
Code
10
Tool Calling
10

가격

입력 가격$0.1 / 1M 토큰
출력 가격$0.4 / 1M 토큰
혼합 가격 (3:1)$0.175 / 1M 토큰
캐시 읽기 가격$0.025 / 1M 토큰

속도

토큰/초0.0
첫 토큰 지연0.00s
첫 응답 지연0.00s

공급자 가격 순위

공급자 가격 순위

22개 공급자

최저가: OpenAI최고가: Cortecs
공급자입력출력
1OpenAI최저가
$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
10Cloudflare AI Gateway
$0.1
$0.4
11Azure Cognitive Services
$0.1
$0.4
12Vercel AI Gateway
$0.1
$0.4
13DevPass (LLM Gateway)
$0.1
$0.4
14Azure
$0.1
$0.4
15NEAR AI Cloud
$0.1
$0.4
16OrcaRouter
$0.1
$0.4
17Merge Gateway
$0.1
$0.4
18Pioneer
$0.1
$0.4
19Impossibl
$0.1
$0.4
20Eden AI
$0.1
$0.4
21LLM Gateway
$0.1
$0.4
22Cortecs
$0.111
$0.434

이 모델의 다양한 API 공급자 간 가격 비교.

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