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GPT-4.1 mini

OpenAIGPTProprietary

描述

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.

发布日期
2025-04-14
参数规模
上下文长度
1.0M
支持模态
image, pdf, text

能力雷达图

32
general
32
coding
54
reasoning
45
science
50
agents
85
multimodal

排行榜排名

领域#排名分数来源
代码能力榜325
34.0
AA
通用能力榜295
44.0
AA
多模态榜56
44.0
LS
科学能力276
47.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)65.0%自报

Code

Aider-Polyglot34.7%自报
Aider-Polyglot Edit31.6%自报
SWE-Bench Verified23.6%自报

Communication

Multi-IF67.0%自报
TAU-bench Retail55.8%自报
TAU-bench Airline36.0%自报
Multi-Challenge35.8%自报

Finance

MMLU87.5%自报

General

IFEvalGoogle Research (2023)84.1%自报
MMMLU78.5%自报
MMMU72.7%自报
Internal API instruction following (hard)45.1%自报

Language

COLLIE54.6%自报

Long Context

ComplexFuncBench49.3%自报
OpenAI-MRCR: 2 needle 128k47.2%自报
OpenAI-MRCR: 2 needle 1M33.3%自报
Graphwalks BFS >128k15.0%自报
Graphwalks parents >128k11.0%自报

Math

MathVista73.1%自报
AIME 202449.6%自报
AIME 202540.2%自报
HMMT 202535.0%自报
Humanity's Last Exam3.7%自报

Multimodal

CharXiv-D88.4%自报
CharXiv-R56.8%自报

Reasoning

Graphwalks BFS <128k61.7%自报
Graphwalks parents <128k60.5%自报

AA 评测指数

(Artificial Analysis)
Math Index(Artificial Analysis)
46.3
Coding Index(Artificial Analysis)
20.2
Intelligence Index(Artificial Analysis)
14.8
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.5
Aime 25(MAA (Mathematical Association of America))
0.5
Lcr(Artificial Analysis)
0.5
Aime(MAA (Mathematical Association of America))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.4
Ifbench(Google Research (2023))
0.4
Terminalbench V2 1
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Tau Banking
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.1

LLM Stats 分类评分

(LLM Stats (zeroeval))
Legal
90
Finance
90
Instruction Following
80
Healthcare
80
Multimodal
70
Physics
70
Structured Output
70
Language
70
Biology
70
Chemistry
70
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

定价

输入价格$0.4 / 1M tokens
输出价格$1.6 / 1M tokens
混合价格(3:1)$0.7 / 1M tokens
缓存读取价格$0.1 / 1M tokens

速度

Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s

供应商价格排行

供应商价格排行

20 个供应商

最便宜: OpenAI最贵: Cortecs
供应商输入输出
1OpenAI最便宜
$0
$0
2Poe
$0.36
$1.4
3Helicone
$0.4
$1.6
4302.AI
$0.4
$1.6
5NanoGPT
$0.4
$1.6
6Abacus
$0.4
$1.6
7OpenRouter
$0.4
$1.6
8Kilo Gateway
$0.4
$1.6
9SAP AI Core
$0.4
$1.6
10Azure Cognitive Services
$0.4
$1.6
11Vercel AI Gateway
$0.4
$1.6
12LLM Gateway
$0.4
$1.6
13Azure
$0.4
$1.6
14NEAR AI Cloud
$0.4
$1.6
15OrcaRouter
$0.4
$1.6
16Merge Gateway
$0.4
$1.6
17Pioneer
$0.4
$1.6
18Ofox
$0.4
$1.6
19Impossibl
$0.4
$1.6
20Cortecs
$0.434
$1.704

比较该模型在不同 API 供应商之间的定价。

外部链接