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Gemini 3 Pro Preview (low)

GoogleGeminiProprietary

描述

Gemini 3 Pro is the first model in the new Gemini 3 series. It is best for complex tasks that require broad world knowledge and advanced reasoning across modalities. Gemini 3 Pro uses dynamic thinking by default to reason through prompts, and features a 1 million-token input context window with 64k output tokens.

發布日期
2025-11-18
參數規模
—
上下文長度
—
支援模態
audio, image, text, video

能力雷達圖

44
general
86
coding
87
reasoning
70
science
70
agents
80
multimodal

排行榜排名

領域#排名分數來源
智慧體能力模型榜26
57.0
LS
程式碼能力榜132
76.0
AA
通用能力榜164
58.0
AA
多模態榜36
60.0
LS
科學能力124
69.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench85.4%自報

Factuality

SimpleQA72.1%自報

Language

MMMLU91.8%自報

Long Context

MRCR v2 (8-needle)26.3%自報

Math

AIME 2025100.0%自報
LiveBench73.4%
MathArena Apex23.4%自報

Multimodal

VideoMMMU87.6%自報

Reasoning

Vending-Bench 2547816.0%自報
LiveCodeBench Pro2439.00 / 3000自報
Global PIQA93.4%自報
GPQANYU + Cohere + Anthropic (2023)91.9%自報
CharXiv-R81.4%自報
SWE-Bench Verified76.2%自報
FACTS Grounding70.5%自報
Terminal-Bench 2.0Stanford × Laude Institute (2026)54.2%自報
Humanity's Last Exam45.8%自報
ARC-AGI v231.1%自報

Vision

MMMU-Pro81.0%自報
ScreenSpot Pro72.7%自報
OmniDocBench 1.511.5%自報

AA 評測指數

(Artificial Analysis)
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
89.5
Gpqa(NYU + Cohere + Anthropic (2023))
88.7
Math Index(Artificial Analysis)
86.7
Aime 25(MAA (Mathematical Association of America))
86.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
85.7
Lcr(Artificial Analysis)
74.0
Tau2(Sierra + U Toronto + Vector Institute (2025))
68.1
Ifbench(Google Research (2023))
49.7
Terminalbench Hard(Stanford × Laude Institute (2026))
34.1
Hle(Center for AI Safety + Scale AI (2025))
29.5
Intelligence Index(Artificial Analysis)
22.3

LLM Stats 分類評分

(LLM Stats (zeroeval))
Agents
100
Code
100
Reasoning
100
General
100
Language
90
Physics
90
Healthcare
90
Biology
90
Chemistry
90
Frontend Development
80
Math
70
Multimodal
70
Factuality
70
Grounding
70
Tool Calling
70
Vision
60
Spatial Reasoning
50
Long Context
30
Structured Output
10

定價

輸入價格$2 / 1M tokens
輸出價格$12 / 1M tokens
混合價格(3:1)$4.5 / 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

1 個供應商

供應商輸入輸出
1Google主要
$2
$12

比較該模型在不同 API 供應商之間的定價。

外部連結

LLM StatsArtificial Analysis