Gemini 2.5 Flash-Lite (Non-reasoning)
GoogleGeminiOpen WeightCreative Commons Attribution 4.0 License
Descripción
Gemini 2.5 Flash-Lite is a model developed by Google DeepMind, designed to handle various tasks including reasoning, science, mathematics, code generation, and more. It features advanced capabilities in multilingual performance and long context understanding. It is optimized for low latency use cases, supporting multimodal input with a 1 million-token context length.
Fecha de lanzamiento
2025-06-17
Parámetros
—
Longitud del contexto
1.0M
Modalidades
audio, image, pdf, text, video
Radar de capacidades
26
general
40
coding
49
reasoning
34
science
46
agents
82
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Audio | 41 | 52.0 | AA |
| Ranking de codificación | 458 | 27.0 | AA |
| Ranking general | 509 | 28.0 | AA |
| Ranking multimodal | 75 | 52.0 | LS |
| Ciencia | 536 | 24.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Factuality
SimpleQA
10.7%Aut.
General
Global-MMLU-Lite
81.1%Aut.
Aider-Polyglot
26.7%Aut.
Long Context
MRCR v2
16.6%Aut.
Math
AIME 2025
49.8%Aut.
Multimodal
MMMU
72.9%Aut.
Vibe-Eval
51.3%Aut.
Reasoning
FACTS Grounding
84.1%Aut.
GPQANYU + Cohere + Anthropic (2023)
64.6%Aut.
LiveCodeBench
33.7%Aut.
SWE-Bench Verified
31.6%Aut.
Humanity's Last Exam
5.1%Aut.
Arc
2.5%Aut.
Índices de evaluación AA
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))92.6
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))72.4
Aime(MAA (Mathematical Association of America))50.0
Gpqa(NYU + Cohere + Anthropic (2023))47.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))40.0
Aime 25(MAA (Mathematical Association of America))35.3
Math Index(Artificial Analysis)35.3
Lcr(Artificial Analysis)32.0
Ifbench(Google Research (2023))31.5
Tau2(Sierra + U Toronto + Vector Institute (2025))19.0
Intelligence Index(Artificial Analysis)6.7
Hle(Center for AI Safety + Scale AI (2025))3.7
Terminalbench Hard(Stanford × Laude Institute (2026))2.3
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Language80
Grounding80
Healthcare70
Multimodal60
Physics60
Biology60
Chemistry60
Reasoning50
Factuality50
General40
Vision40
Math30
Frontend Development30
Code30
Long Context20
Precios
Precio de entrada$0.1 / 1M tokens
Precio de salida$0.4 / 1M tokens
Precio mixto (3:1)$0.175 / 1M tokens
Precio de lectura caché$0.01 / 1M tokens
Velocidad
Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
8 proveedores
Más barato: Jiekou.AIMás caro: Vertex
ProveedorEntradaSalida
1Jiekou.AIMás barato
$0.09
$0.36
2Helicone
$0.1
$0.4
3GooglePRINCIPAL
$0.1
$0.4
4NanoGPT
$0.1
$0.4
5SAP AI Core
$0.1
$0.4
6AIHubMix
$0.1
$0.4
7DevPass (LLM Gateway)
$0.1
$0.4
8Vertex
$0.1
$0.4
Comparar precios entre diferentes proveedores de API para este modelo.