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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.

發布日期
2025-06-05
參數規模
—
上下文長度
1.0M
支援模態
audio, image, pdf, text, video

能力雷達圖

38
general
51
coding
89
reasoning
59
science
78
agents
80
multimodal

排行榜排名

領域#排名分數來源
音訊能力69
41.0
AA
程式碼能力榜248
57.0
AA
通用能力榜230
50.0
AA
多模態榜33
60.0
LS
科學能力173
62.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Factuality

SimpleQA54.0%自報

General

Global-MMLU-Lite89.2%自報
Aider-Polyglot82.2%自報
Aider-Polyglot Edit72.7%自報

Long Context

MRCR93.0%自報
MRCR 1M (pointwise)82.9%自報
MRCR v2 (8-needle)16.4%自報

Math

AIME 202492.0%自報
AIME 202588.0%自報

Multimodal

Video-MME84.8%自報
VideoMMMU83.6%自報
MMMU82.0%自報
Vibe-Eval67.2%自報

Reasoning

FACTS Grounding87.8%自報
GPQANYU + Cohere + Anthropic (2023)86.4%自報
LiveCodeBench v575.6%自報
LiveCodeBench69.0%自報
SWE-Bench Verified67.2%自報
Humanity's Last Exam21.6%自報
ARC-AGI v24.9%

AA 評測指數

(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 1
28.5
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 Banking
9.7

LLM Stats 分類評分

(LLM Stats (zeroeval))
Language
90
Long Context
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

定價

輸入價格$1.25 / 1M tokens
輸出價格$10 / 1M tokens
混合價格(3:1)$3.438 / 1M tokens
快取讀取價格$0.125 / 1M tokens

速度

Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s

供應商價格排行

供應商價格排行

27 個供應商

最便宜: Google最貴: Cortecs
供應商輸入輸出
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

比較該模型在不同 API 供應商之間的定價。

外部連結