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
43
general
51
coding
89
reasoning
57
science
78
agents
84
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Audio | 63 | 53.0 | AA |
| Ranking de codificación | 179 | 58.0 | AA |
| Ranking general | 198 | 56.0 | AA |
| Ranking multimodal | 34 | 54.0 | LS |
| Ciencia | 119 | 66.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
86.4%Aut.
Code
Aider-Polyglot
82.2%Aut.
Aider-Polyglot Edit
72.7%Aut.
LiveCodeBench
69.0%Aut.
SWE-Bench Verified
67.2%Aut.
Factuality
FACTS Grounding
87.8%Aut.
SimpleQA
54.0%Aut.
General
MRCR
93.0%Aut.
Global-MMLU-Lite
89.2%Aut.
MRCR 1M (pointwise)
82.9%Aut.
MMMU
82.0%Aut.
LiveCodeBench v5
75.6%Aut.
Vibe-Eval
67.2%Aut.
MRCR v2 (8-needle)
16.4%Aut.
Healthcare
VideoMMMU
83.6%Aut.
Math
AIME 2024
92.0%Aut.
AIME 2025
88.0%Aut.
Humanity's Last Exam
21.6%Aut.
Multimodal
Video-MME
84.8%Aut.
Reasoning
ARC-AGI v2
4.9%
Índices de evaluación AA
(Artificial Analysis)Math Index(Artificial Analysis)87.7
Coding Index(Artificial Analysis)33.3
Intelligence Index(Artificial Analysis)25.9
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))1.0
Aime(MAA (Mathematical Association of America))0.9
Aime 25(MAA (Mathematical Association of America))0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.9
Gpqa(NYU + Cohere + Anthropic (2023))0.8
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.8
Lcr(Artificial Analysis)0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))0.5
Ifbench(Google Research (2023))0.5
Scicode(UIUC + Argonne National Lab (2024))0.4
Terminalbench V2 10.3
Terminalbench Hard(Stanford × Laude Institute (2026))0.3
Hle(Center for AI Safety + Scale AI (2025))0.2
Tau Banking0.1
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Long Context90
Language90
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
26 proveedores
Más barato: GoogleMás caro: OrcaRouter
ProveedorEntradaSalida
1GoogleMás barato
$0
$0.00001
2Poe
$0.87
$7
3Jiekou.AI
$1.125
$9
4302.AI
$1.25
$10
5NanoGPT
$1.25
$10
6Abacus
$1.25
$10
7Perplexity Agent
$1.25
$10
8OpenRouter
$1.25
$10
9ZenMux
$1.25
$10
10Kilo Gateway
$1.25
$10
11SAP AI Core
$1.25
$10
12Helicone
$1.25
$10
13FrogBot
$1.25
$10
14AIHubMix
$1.25
$10
15Vercel AI Gateway
$1.25
$10
16LLM Gateway
$1.25
$10
17Vertex
$1.25
$10
18FastRouter
$1.25
$10
19Auriko
$1.25
$10
20NEAR AI Cloud
$1.25
$10
21Merge Gateway
$1.25
$10
22Ofox
$1.25
$10
23Modelis
$1.25
$10
24Impossibl
$1.25
$10
25Cortecs
$1.495
$9.964
26OrcaRouter
$2.5
$15
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