GPT-4.1 nano
OpenAIGPTProprietary
描述
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.
發布日期
2025-04-14
參數規模
—
上下文長度
1.0M
支援模態
image, text
能力雷達圖
26
general
20
coding
36
reasoning
33
science
10
agents
85
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
50.3%自報
Code
Aider-Polyglot
9.8%自報
Aider-Polyglot Edit
6.2%自報
Communication
Multi-IF
57.2%自報
TAU-bench Retail
22.6%自報
Multi-Challenge
15.0%自報
TAU-bench Airline
14.0%自報
Finance
MMLU
80.1%自報
General
IFEvalGoogle Research (2023)
74.5%自報
MMMLU
66.9%自報
MMMU
55.4%自報
Internal API instruction following (hard)
31.6%自報
Language
COLLIE
42.5%自報
Long Context
OpenAI-MRCR: 2 needle 128k
36.6%自報
OpenAI-MRCR: 2 needle 1M
12.0%自報
ComplexFuncBench
5.7%自報
Graphwalks parents >128k
5.6%自報
Graphwalks BFS >128k
2.9%自報
Math
MathVista
56.2%自報
AIME 2024
29.4%自報
Multimodal
CharXiv-D
73.9%自報
CharXiv-R
40.5%自報
Reasoning
Graphwalks BFS <128k
25.0%自報
Graphwalks parents <128k
9.4%自報
AA 評測指數
(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
LLM Stats 分類評分
(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
定價
輸入價格$0.1 / 1M tokens
輸出價格$0.4 / 1M tokens
混合價格(3:1)$0.175 / 1M tokens
快取讀取價格$0.025 / 1M tokens
速度
Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s
供應商價格排行
供應商價格排行
19 個供應商
最便宜: OpenAI最貴: Cortecs
供應商輸入輸出
1OpenAI最便宜
$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
比較該模型在不同 API 供應商之間的定價。