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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

43
general
51
coding
89
reasoning
57
science
78
agents
84
multimodal

排行榜排名

领域#排名分数来源
音频能力63
53.0
AA
代码能力榜179
58.0
AA
通用能力榜198
56.0
AA
多模态榜34
54.0
LS
科学能力119
66.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)86.4%自报

Code

Aider-Polyglot82.2%自报
Aider-Polyglot Edit72.7%自报
LiveCodeBench69.0%自报
SWE-Bench Verified67.2%自报

Factuality

FACTS Grounding87.8%自报
SimpleQA54.0%自报

General

MRCR93.0%自报
Global-MMLU-Lite89.2%自报
MRCR 1M (pointwise)82.9%自报
MMMU82.0%自报
LiveCodeBench v575.6%自报
Vibe-Eval67.2%自报
MRCR v2 (8-needle)16.4%自报

Healthcare

VideoMMMU83.6%自报

Math

AIME 202492.0%自报
AIME 202588.0%自报
Humanity's Last Exam21.6%自报

Multimodal

Video-MME84.8%自报

Reasoning

ARC-AGI v24.9%

AA 评测指数

(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 1
0.3
Terminalbench Hard(Stanford × Laude Institute (2026))
0.3
Hle(Center for AI Safety + Scale AI (2025))
0.2
Tau Banking
0.1

LLM Stats 分类评分

(LLM Stats (zeroeval))
Long Context
90
Language
90
Multimodal
80
Physics
80
Healthcare
80
Biology
80
Chemistry
80
Reasoning
70
General
70
Code
70
Math
60
Frontend Development
60
Factuality
50
Vision
50
Spatial Reasoning
0

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

26 个供应商

最便宜: Google最贵: OrcaRouter
供应商输入输出
1Google最便宜
$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

比较该模型在不同 API 供应商之间的定价。

外部链接