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GPT-4o (Aug '24)

OpenAIGPTProprietary

描述

GPT-4o ('o' for 'omni') is a multimodal AI model that accepts text, audio, image, and video inputs, and generates text, audio, and image outputs. It matches GPT-4 Turbo performance on text and code, with improvements in non-English languages, vision, and audio understanding.

发布日期
2024-08-06
参数规模
上下文长度
128K
支持模态
image, pdf, text

能力雷达图

8
general
32
coding
40
reasoning
35
science
50
agents
90
multimodal

排行榜排名

领域#排名分数来源
代码能力榜345
31.0
AA
通用能力榜487
23.0
AA
多模态榜42
49.0
LS
科学能力378
36.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)70.1%自报

Code

SWE-Bench Verified33.2%自报
SWE-Lancer32.6%自报
Aider-Polyglot30.7%自报
Aider-Polyglot Edit18.2%自报
SWE-Lancer (IC-Diamond subset)12.4%自报

Communication

Tau2 Retail63.4%自报
Multi-IF60.9%自报
TAU-bench Retail60.3%自报
Tau2 Airline45.5%自报
TAU-bench Airline42.8%自报
Multi-Challenge40.3%自报
Tau2 Telecom23.5%自报

Factuality

SimpleQA38.2%自报

Finance

MMLU85.7%自报
MMLU-Pro74.7%自报

General

MMMLU81.4%自报
IFEvalGoogle Research (2023)81.0%自报
MMMU72.2%自报
MMMU-Pro59.9%自报
Internal API instruction following (hard)29.2%自报

Healthcare

VideoMMMU61.2%自报

Image To Text

DocVQADocVQA (2020)92.8%自报

Language

COLLIE61.0%自报

Long Context

EgoSchema72.2%自报
ComplexFuncBench66.5%自报
OpenAI-MRCR: 2 needle 128k31.9%自报

Math

MathVista61.4%自报
AIME 202413.1%自报
Humanity's Last Exam5.3%自报

Multimodal

AI2D94.2%自报
ChartQAMasry et al. (2022)85.7%自报
CharXiv-D85.3%自报
CharXiv-R58.8%自报

Reasoning

Graphwalks BFS <128k41.7%自报
Graphwalks parents <128k35.4%自报
ERQA35.2%自报

Video

ActivityNet61.9%自报

AA 评测指数

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
9.4
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.5
Lcr(Artificial Analysis)
0.4
Ifbench(Google Research (2023))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.3
Aime(MAA (Mathematical Association of America))
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.0

LLM Stats 分类评分

(LLM Stats (zeroeval))
Image To Text
90
Legal
80
Finance
80
Multimodal
70
Physics
70
Instruction Following
70
Language
70
Healthcare
70
Biology
70
Chemistry
70
Vision
70
Long Context
60
Structured Output
60
Writing
60
Math
50
Reasoning
50
General
50
Communication
50
Tool Calling
50
Spatial Reasoning
40
Factuality
40
Frontend Development
30
Code
30

定价

输入价格$2.5 / 1M tokens
输出价格$10 / 1M tokens
混合价格(3:1)$4.375 / 1M tokens
缓存读取价格$1.25 / 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

2 个供应商

最便宜: OpenAI最贵: Azure
供应商输入输出
1OpenAI最便宜
$0
$0.00001
2Azure
$0
$0.00001

比较该模型在不同 API 供应商之间的定价。

外部链接