Gemini 2.5 Pro
GoogleGeminiProprietary
설명
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.
출시일
2025-06-05
파라미터
—
컨텍스트 길이
1.0M
모달리티
audio, image, pdf, text, video
능력 레이더
38
general
51
coding
89
reasoning
59
science
78
agents
80
multimodal
랭킹
벤치마크 점수 (LLM Stats)
(LLM Stats (zeroeval))Factuality
SimpleQA
54.0%자체 보고
General
Global-MMLU-Lite
89.2%자체 보고
Aider-Polyglot
82.2%자체 보고
Aider-Polyglot Edit
72.7%자체 보고
Long Context
MRCR
93.0%자체 보고
MRCR 1M (pointwise)
82.9%자체 보고
MRCR v2 (8-needle)
16.4%자체 보고
Math
AIME 2024
92.0%자체 보고
AIME 2025
88.0%자체 보고
Multimodal
Video-MME
84.8%자체 보고
VideoMMMU
83.6%자체 보고
MMMU
82.0%자체 보고
Vibe-Eval
67.2%자체 보고
Reasoning
FACTS Grounding
87.8%자체 보고
GPQANYU + Cohere + Anthropic (2023)
86.4%자체 보고
LiveCodeBench v5
75.6%자체 보고
LiveCodeBench
69.0%자체 보고
SWE-Bench Verified
67.2%자체 보고
Humanity's Last Exam
21.6%자체 보고
ARC-AGI v2
4.9%
AA 평가 지수
(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
LLM Stats 카테고리 점수
(LLM Stats (zeroeval))Language90
Long Context90
Multimodal80
Physics80
Healthcare80
Biology80
Chemistry80
Reasoning70
General70
Code70
Math60
Frontend Development60
Factuality50
Vision50
Spatial Reasoning0
가격
입력 가격$1.25 / 1M 토큰
출력 가격$10 / 1M 토큰
혼합 가격 (3:1)$3.438 / 1M 토큰
캐시 읽기 가격$0.125 / 1M 토큰
속도
토큰/초0.0
첫 토큰 지연0.00s
첫 응답 지연0.00s
공급자 가격 순위
공급자 가격 순위
27개 공급자
최저가: Google최고가: Cortecs
공급자입력출력
1Google최저가
$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
이 모델의 다양한 API 공급자 간 가격 비교.