Gemini 1.5 Flash (Sep '24)
GoogleGeminiProprietary
Descripción
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.
Fecha de lanzamiento
2024-09-24
Parámetros
—
Longitud del contexto
—
Modalidades
image, text
Radar de capacidades
25
general
27
coding
43
reasoning
33
science
38
agents
80
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 430 | 30.0 | AA |
| Ranking general | 464 | 30.0 | AA |
| Ranking multimodal | 104 | 43.0 | LS |
| Ciencia | 533 | 23.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))General
MMLU
78.9%Aut.
Language
FLEURS
90.4%Aut.
WMT23
74.1%Aut.
MMLU-Pro
67.3%Aut.
Long Context
MRCR
71.9%Aut.
Math
GSM8k
86.2%Aut.
MGSM
82.6%Aut.
MATH
77.9%Aut.
MathVista
65.8%Aut.
FunctionalMATH
53.6%Aut.
HiddenMath
47.2%Aut.
AMC_2022_23
34.8%Aut.
Multimodal
Video-MME
76.1%Aut.
MMMU
62.3%Aut.
Vibe-Eval
48.9%Aut.
Physics
PhysicsFinals
57.4%Aut.
Reasoning
HellaSwagAI2 (2019)
86.5%Aut.
BIG-Bench Hard
85.5%Aut.
Natural2Code
79.8%Aut.
HumanEvalOpenAI (2021)
74.3%Aut.
GPQANYU + Cohere + Anthropic (2023)
51.0%Aut.
Safety
XSTest
97.0%Aut.
Índices de evaluación AA
(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
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Safety100
Speech To Text90
Language80
Legal70
Long Context70
Math70
Reasoning70
Finance70
General70
Healthcare70
Code70
Multimodal60
Vision60
Physics50
Biology50
Chemistry50
Precios
Precio de entradaGratis
Precio de salidaGratis
Precio mixto (3:1)Gratis
Velocidad
Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s
Ranking de Precios por Proveedor
No hay datos de proveedores disponibles