Gemini 3.8 Flash (high)
GoogleGeminiProprietary
描述
Gemini 3.8 Flash is Google's most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows. It accepts text, image, video, audio, and PDF input, produces text, and supports a 1,048,576-token input context and 65,536-token output. It supports low, medium, and high thinking levels, with medium as the default; minimal is not supported. Launch results include 73.7% on DeepSWE v1.1, 89.4% on Terminal-Bench 2.1, 61.4% on Vals Finance Agent v2, and 54.9% on HLE-Verified. Introductory Gemini API pricing is $0.75 per million input tokens and $3.75 per million output tokens through 2026-12-31; standard pricing of $1.50/$7.50 begins 2027-01-01.
发布日期
2026-09-02
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
56
general
73
coding
95
reasoning
71
science
50
agents
80
multimodal
排行榜排名
基准测试分数 (LLM Stats)
(LLM Stats (zeroeval))Biology
LABBench2
86.2%自报
BioMysteryBench
56.5%自报
Code
DeepSWE 1.1
73.7%自报
Finance
Vals Finance Agent v2
61.4%自报
General
GDPval-AA
1545.00 / 3000自报
GDP.pdf
35.0%自报
Knowledge
HLE-Verified
54.9%自报
Legal
Harvey's Legal Agent Benchmark
10.0%自报
Multimodal
OSWorld 2.0
59.0%自报
Reasoning
Terminal-Bench 2.1
89.4%自报
CharXiv-R
86.2%自报
Terminal-Bench 4.0
19.1%自报
Vision
LVBench
87.1%自报
AA 评测指数
(Artificial Analysis)Gpqa(NYU + Cohere + Anthropic (2023))95.3
Terminalbench V2 187.6
Lcr(Artificial Analysis)81.0
Coding Index(Artificial Analysis)76.3
Intelligence Index(Artificial Analysis)58.7
Scicode(UIUC + Argonne National Lab (2024))53.6
Hle(Center for AI Safety + Scale AI (2025))47.8
Tau Banking44.9
LLM Stats 分类评分
(LLM Stats (zeroeval))Legal100
Finance100
Agents100
Reasoning100
General100
Long Context90
Multimodal70
Vision70
Science60
Biology60
Code60
Tool Calling50
定价
输入价格$0.75 / 1M tokens
输出价格$3.75 / 1M tokens
混合价格(3:1)$1.5 / 1M tokens
缓存读取价格$0.075 / 1M tokens
速度
Tokens/秒297.5
首Token延迟10.03s
首回答延迟10.03s
供应商价格排行
供应商价格排行
2 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
2Venice AI
$0.9375
$4.6875
比较该模型在不同 API 供应商之间的定价。