Gemini 3 Flash Preview (Non-reasoning)
GoogleGeminiProprietary
描述
Gemini 3 Flash offers frontier intelligence built for speed at a fraction of the cost. It combines Gemini 3's Pro-grade reasoning with Flash-level latency, efficiency and cost. Features a 1 million-token input context window and is optimized for agentic workflows, coding, and complex analysis.
发布日期
2025-12-17
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
39
general
80
coding
60
reasoning
61
science
60
agents
80
multimodal
排行榜排名
基准测试分数 (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
90.2%自报
Toolathlon
49.4%自报
Finance Agent v2
42.5%
Factuality
SimpleQA
68.7%自报
Language
MMMLU
91.8%自报
Legal
Legal Agent Benchmark
0.0%
Long Context
MRCR v2 (8-needle)
22.1%自报
Math
AIME 2025
99.7%自报
LiveBench
72.4%
Multimodal
VideoMMMU
86.9%自报
Reasoning
Vending-Bench 2
363500.0%自报
LiveCodeBench Pro
2316.00 / 3000自报
Global PIQA
92.8%自报
GPQANYU + Cohere + Anthropic (2023)
90.4%自报
CharXiv-R
80.3%自报
SWE-Bench Verified
78.0%自报
FACTS Grounding
61.9%自报
MCP Atlas
57.4%自报
Terminal-Bench 2.0Stanford × Laude Institute (2026)
47.6%自报
Humanity's Last Exam
43.5%自报
ARC-AGI v2
33.6%自报
Vision
MMMU-Pro
81.2%自报
ScreenSpot Pro
69.1%自报
OmniDocBench 1.5
12.1%自报
AA 评测指数
(Artificial Analysis)Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))88.2
Gpqa(NYU + Cohere + Anthropic (2023))81.2
Livecodebench(UC Berkeley + MIT + Cornell (2024))79.7
Math Index(Artificial Analysis)55.7
Aime 25(MAA (Mathematical Association of America))55.7
Lcr(Artificial Analysis)55.3
Ifbench(Google Research (2023))55.1
Tau2(Sierra + U Toronto + Vector Institute (2025))43.3
Terminalbench Hard(Stanford × Laude Institute (2026))31.8
Intelligence Index(Artificial Analysis)17.9
Hle(Center for AI Safety + Scale AI (2025))15.0
LLM Stats 分类评分
(LLM Stats (zeroeval))Code100
Agents100
Reasoning100
General100
Language90
Physics90
Biology90
Chemistry90
Math80
Frontend Development80
Multimodal70
Factuality70
Grounding70
Tool Calling60
Vision60
Spatial Reasoning50
Healthcare50
Finance40
Long Context20
Structured Output10
Legal0
定价
输入价格$0.5 / 1M tokens
输出价格$3 / 1M tokens
混合价格(3:1)$1.125 / 1M tokens
缓存读取价格$0.05 / 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
14 个供应商
最便宜: Google最贵: Venice AI
供应商输入输出
1Google最便宜
$0
$0
2QiHang
$0.07
$0.43
3302.AI
$0.5
$3
4Abacus
$0.5
$3
5Jiekou.AI
$0.5
$3
6OpenCode Zen
$0.5
$3
7FrogBot
$0.5
$3
8AIHubMix
$0.5
$3
9DevPass (LLM Gateway)
$0.5
$3
10Vertex
$0.5
$3
11Neon
$0.5
$3
12Pioneer
$0.5
$3
13Opper
$0.5
$3
14Venice AI
$0.7
$3.75
比较该模型在不同 API 供应商之间的定价。