Gemini 1.5 Flash (Sep '24)
GoogleGeminiProprietary
描述
Gemini 1.5 Flash is a fast and versatile multimodal model for scaling across diverse tasks. It supports audio, images, video, and text input, and produces text output. The model is optimized for generating code, extracting data, editing text, and more, making it ideal for narrow, high-frequency tasks.
发布日期
2024-09-24
参数规模
—
上下文长度
—
支持模态
image, text
能力雷达图
25
general
27
coding
43
reasoning
33
science
38
agents
80
multimodal
排行榜排名
基准测试分数 (LLM Stats)
(LLM Stats (zeroeval))General
MMLU
78.9%自报
Language
FLEURS
90.4%自报
WMT23
74.1%自报
MMLU-Pro
67.3%自报
Long Context
MRCR
71.9%自报
Math
GSM8k
86.2%自报
MGSM
82.6%自报
MATH
77.9%自报
MathVista
65.8%自报
FunctionalMATH
53.6%自报
HiddenMath
47.2%自报
AMC_2022_23
34.8%自报
Multimodal
Video-MME
76.1%自报
MMMU
62.3%自报
Vibe-Eval
48.9%自报
Physics
PhysicsFinals
57.4%自报
Reasoning
HellaSwagAI2 (2019)
86.5%自报
BIG-Bench Hard
85.5%自报
Natural2Code
79.8%自报
HumanEvalOpenAI (2021)
74.3%自报
GPQANYU + Cohere + Anthropic (2023)
51.0%自报
Safety
XSTest
97.0%自报
AA 评测指数
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))82.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))68.0
Gpqa(NYU + Cohere + Anthropic (2023))46.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))27.3
Aime(MAA (Mathematical Association of America))18.0
Intelligence Index(Artificial Analysis)7.1
Hle(Center for AI Safety + Scale AI (2025))3.2
LLM Stats 分类评分
(LLM Stats (zeroeval))Safety100
Speech To Text90
Language80
Legal70
Long Context70
Math70
Reasoning70
Finance70
General70
Healthcare70
Code70
Multimodal60
Vision60
Physics50
Biology50
Chemistry50
定价
输入价格免费
输出价格免费
混合价格(3:1)免费
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
暂无提供商数据