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GPT-4.1 nano

OpenAIGPTProprietary

Описание

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.

Дата выхода
2025-04-14
Параметры
—
Длина контекста
1.0M
Модальности
image, text

Радар способностей

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

Рейтинги

Домен#МестоОценкаИсточник
Рейтинг кодинга526
18.0
AA
Общий рейтинг514
27.0
AA
Мультимодальный рейтинг114
40.0
LS
Наука507
26.0
AA

Оценки бенчмарков (LLM Stats)

(LLM Stats (zeroeval))

Chat

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

General

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

Language

MMMLU66.9%Сам.
COLLIE42.5%Сам.

Long Context

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

Math

MathVista56.2%Сам.
AIME 202429.4%Сам.

Multimodal

MMMU55.4%Сам.

Reasoning

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

Индексы оценки AA

(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

Оценки категорий LLM Stats

(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

Цены

Цена ввода$0.1 / 1M токенов
Цена вывода$0.4 / 1M токенов
Смешанная цена (3:1)$0.175 / 1M токенов
Цена чтения кэша$0.025 / 1M токенов

Скорость

Токенов/сек0.0
Задержка первого токена0.00s
Время до первого ответа0.00s

Рейтинг цен провайдеров

Рейтинг цен провайдеров

22 провайдеров

Самый дешевый: OpenAIСамый дорогой: Cortecs
ПровайдерВводВывод
1OpenAIСамый дешевый
$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

Сравнение цен разных API-провайдеров для этой модели.

Внешние ссылки