Gemini 2.5 Pro
GoogleGeminiProprietary
Descripción
A highly capable AI model from Google, designed for the agentic era. Gemini 2.5 Pro performs well on common benchmarks with enhanced reasoning, multimodal capabilities (text, image, video, audio input), and a 1M token context window.
Fecha de lanzamiento
2025-06-05
Parámetros
—
Longitud del contexto
1.0M
Modalidades
audio, image, pdf, text, video
Radar de capacidades
38
general
51
coding
89
reasoning
59
science
78
agents
80
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Audio | 66 | 41.0 | AA |
| Ranking de codificación | 256 | 57.0 | AA |
| Ranking general | 235 | 50.0 | AA |
| Ranking multimodal | 31 | 60.0 | LS |
| Ciencia | 180 | 62.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Factuality
SimpleQA
54.0%Aut.
General
Global-MMLU-Lite
89.2%Aut.
Aider-Polyglot
82.2%Aut.
Aider-Polyglot Edit
72.7%Aut.
Long Context
MRCR
93.0%Aut.
MRCR 1M (pointwise)
82.9%Aut.
MRCR v2 (8-needle)
16.4%Aut.
Math
AIME 2024
92.0%Aut.
AIME 2025
88.0%Aut.
Multimodal
Video-MME
84.8%Aut.
VideoMMMU
83.6%Aut.
MMMU
82.0%Aut.
Vibe-Eval
67.2%Aut.
Reasoning
FACTS Grounding
87.8%Aut.
GPQANYU + Cohere + Anthropic (2023)
86.4%Aut.
LiveCodeBench v5
75.6%Aut.
LiveCodeBench
69.0%Aut.
SWE-Bench Verified
67.2%Aut.
Humanity's Last Exam
21.6%Aut.
ARC-AGI v2
4.9%
Índices de evaluación AA
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))96.7
Aime(MAA (Mathematical Association of America))88.7
Math Index(Artificial Analysis)87.7
Aime 25(MAA (Mathematical Association of America))87.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))86.2
Gpqa(NYU + Cohere + Anthropic (2023))84.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))80.1
Lcr(Artificial Analysis)69.0
Tau2(Sierra + U Toronto + Vector Institute (2025))54.1
Ifbench(Google Research (2023))48.7
Scicode(UIUC + Argonne National Lab (2024))46.3
Coding Index(Artificial Analysis)33.3
Terminalbench V2 128.5
Terminalbench Hard(Stanford × Laude Institute (2026))26.5
Hle(Center for AI Safety + Scale AI (2025))22.5
Intelligence Index(Artificial Analysis)16.1
Tau Banking9.7
Terminalbench V4 00.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Language90
Long Context90
Multimodal80
Physics80
Healthcare80
Biology80
Chemistry80
Reasoning70
General70
Code70
Math60
Frontend Development60
Factuality50
Vision50
Spatial Reasoning0
Precios
Precio de entrada$1.25 / 1M tokens
Precio de salida$10 / 1M tokens
Precio mixto (3:1)$3.438 / 1M tokens
Precio de lectura caché$0.125 / 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
27 proveedores
Más barato: GoogleMás caro: Cortecs
ProveedorEntradaSalida
1GoogleMás barato
$0
$0.00001
2DeepInfra
$0
$0.00001
3Poe
$0.87
$7
4Jiekou.AI
$1.125
$9
5302.AI
$1.25
$10
6NanoGPT
$1.25
$10
7Abacus
$1.25
$10
8Perplexity Agent
$1.25
$10
9OpenRouter
$1.25
$10
10ZenMux
$1.25
$10
11Kilo Gateway
$1.25
$10
12SAP AI Core
$1.25
$10
13Helicone
$1.25
$10
14FrogBot
$1.25
$10
15AIHubMix
$1.25
$10
16Vercel AI Gateway
$1.25
$10
17DevPass (LLM Gateway)
$1.25
$10
18Vertex
$1.25
$10
19FastRouter
$1.25
$10
20Auriko
$1.25
$10
21NEAR AI Cloud
$1.25
$10
22OrcaRouter
$1.25
$10
23Merge Gateway
$1.25
$10
24Ofox
$1.25
$10
25Modelis
$1.25
$10
26Impossibl
$1.25
$10
27Cortecs
$1.495
$9.964
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