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o3-mini

OpenAIOpenAI o-seriesProprietary

描述

A smaller variant of O3, expected to offer enhanced multimodal capabilities, improved reasoning, and more efficient resource utilization compared to previous models while maintaining strong performance on core tasks.

发布日期
2025-01-31
参数规模
—
上下文长度
200K
支持模态
text

能力雷达图

32
general
72
coding
83
reasoning
54
science
40
agents
0
multimodal

排行榜排名

领域#排名分数来源
代码能力榜341
44.0
AA
通用能力榜354
38.0
AA
科学能力333
43.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Chat

IFEvalGoogle Research (2023)93.9%自报
Multi-IF79.5%自报
TAU-bench Retail57.6%自报
Multi-Challenge39.9%自报

Factuality

SimpleQA15.0%自报

General

MMLU86.9%自报
Multilingual MMLU80.7%自报
Aider-Polyglot66.7%自报
Aider-Polyglot Edit60.4%自报
Internal API instruction following (hard)50.0%自报

Language

COLLIE98.7%自报

Long Context

OpenAI-MRCR: 2 needle 128k18.7%自报
ComplexFuncBench17.6%自报

Math

MATH97.9%自报
MGSM92.0%自报
AIME 202487.3%自报
LiveBench84.6%自报
FrontierMath9.2%自报

Reasoning

GPQANYU + Cohere + Anthropic (2023)77.2%自报
Graphwalks parents <128k58.3%自报
Graphwalks BFS <128k51.0%自报
SWE-Bench Verified49.3%自报
TAU-bench Airline32.4%自报
SWE-Lancer18.0%自报
SWE-Lancer (IC-Diamond subset)7.4%自报

AA 评测指数

(Artificial Analysis)
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
97.3
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
79.1
Aime(MAA (Mathematical Association of America))
77.0
Gpqa(NYU + Cohere + Anthropic (2023))
74.8
Livecodebench(UC Berkeley + MIT + Cornell (2024))
71.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
28.7
Intelligence Index(Artificial Analysis)
12.5
Hle(Center for AI Safety + Scale AI (2025))
7.9
Terminalbench Hard(Stanford × Laude Institute (2026))
6.8

LLM Stats 分类评分

(LLM Stats (zeroeval))
Writing
100
Instruction Following
90
Language
90
Legal
90
Finance
90
Healthcare
90
Math
80
Physics
80
Biology
80
Chemistry
80
Chat
70
Reasoning
60
Structured Output
60
General
60
Spatial Reasoning
50
Frontend Development
50
Communication
50
Code
40
Tool Calling
40
Long Context
20
Factuality
10

定价

输入价格$1.1 / 1M tokens
输出价格$4.4 / 1M tokens
混合价格(3:1)$1.925 / 1M tokens
缓存读取价格$0.55 / 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

1 个供应商

供应商输入输出
1OpenAI主要
$1.1
$4.4

比较该模型在不同 API 供应商之间的定价。

外部链接