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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.

發布日期
2024-09-24
參數規模
上下文長度
支援模態
image, text

能力雷達圖

25
general
27
coding
43
reasoning
31
science
38
agents
80
multimodal

排行榜排名

領域#排名分數來源
程式碼能力榜349
30.0
AA
通用能力榜402
32.0
AA
多模態榜47
46.0
LS
科學能力434
30.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)51.0%自報

Code

HumanEvalOpenAI (2021)74.3%自報

Finance

MMLU78.9%自報
MMLU-Pro67.3%自報

General

Natural2Code79.8%自報
MRCR71.9%自報
MMMU62.3%自報
Vibe-Eval48.9%自報

Healthcare

WMT2374.1%自報

Language

FLEURS90.4%自報
BIG-Bench Hard85.5%自報

Math

GSM8k86.2%自報
MGSM82.6%自報
MATH77.9%自報
MathVista65.8%自報
PhysicsFinals57.4%自報
FunctionalMATH53.6%自報
HiddenMath47.2%自報
AMC_2022_2334.8%自報

Multimodal

Video-MME76.1%自報

Reasoning

HellaSwagAI2 (2019)86.5%自報

Safety

XSTest97.0%自報

AA 評測指數

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
7.8
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
Scicode(UIUC + Argonne National Lab (2024))
0.3
Aime(MAA (Mathematical Association of America))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.0

LLM Stats 分類評分

(LLM Stats (zeroeval))
Safety
100
Speech To Text
90
Language
80
Legal
70
Long Context
70
Math
70
Reasoning
70
Finance
70
General
70
Healthcare
70
Code
70
Multimodal
60
Vision
60
Physics
50
Biology
50
Chemistry
50

定價

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速度

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