Gemini 2.5 Pro
GoogleGeminiProprietary
描述
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.
发布日期
2025-06-05
参数规模
—
上下文长度
1.0M
支持模态
audio, image, pdf, text, video
能力雷达图
38
general
51
coding
89
reasoning
59
science
78
agents
80
multimodal
排行榜排名
基准测试分数 (LLM Stats)
(LLM Stats (zeroeval))Factuality
SimpleQA
54.0%自报
General
Global-MMLU-Lite
89.2%自报
Aider-Polyglot
82.2%自报
Aider-Polyglot Edit
72.7%自报
Long Context
MRCR
93.0%自报
MRCR 1M (pointwise)
82.9%自报
MRCR v2 (8-needle)
16.4%自报
Math
AIME 2024
92.0%自报
AIME 2025
88.0%自报
Multimodal
Video-MME
84.8%自报
VideoMMMU
83.6%自报
MMMU
82.0%自报
Vibe-Eval
67.2%自报
Reasoning
FACTS Grounding
87.8%自报
GPQANYU + Cohere + Anthropic (2023)
86.4%自报
LiveCodeBench v5
75.6%自报
LiveCodeBench
69.0%自报
SWE-Bench Verified
67.2%自报
Humanity's Last Exam
21.6%自报
ARC-AGI v2
4.9%
AA 评测指数
(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
LLM Stats 分类评分
(LLM Stats (zeroeval))Language90
Long Context90
Multimodal80
Physics80
Healthcare80
Biology80
Chemistry80
Reasoning70
General70
Code70
Math60
Frontend Development60
Factuality50
Vision50
Spatial Reasoning0
定价
输入价格$1.25 / 1M tokens
输出价格$10 / 1M tokens
混合价格(3:1)$3.438 / 1M tokens
缓存读取价格$0.125 / 1M tokens
速度
Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s
供应商价格排行
供应商价格排行
27 个供应商
最便宜: Google最贵: Cortecs
供应商输入输出
1Google最便宜
$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
比较该模型在不同 API 供应商之间的定价。