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Gemini 3.5 Flash (High)

GoogleGeminiProprietary

描述

Gemini 3.5 Flash is Google's strongest agentic and coding model in the Flash series, delivering frontier-level performance at up to 4x the speed of comparable frontier models and often at less than half the cost. Built to execute complex, agentic workflows, it outperforms Gemini 3.1 Pro on coding and agentic benchmarks while leading in multimodal understanding. It supports a 1 million-token input context window with 64k output tokens and uses dynamic thinking by default.

發布日期
2026-05-19
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

35
general
68
coding
92
reasoning
69
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24
60.0
LS
程式碼能力榜74
79.0
AA
通用能力榜29
74.0
AA
數學推理35
88.0
LB
多模態榜25
61.0
LS
科學能力32
81.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

Finance Agent57.9%自報
Finance Agent v257.9%
Toolathlon56.5%自報
Blueprint-Bench 233.6%自報

Code

DeepSWE 1.137.0%

Legal

Legal Agent Benchmark0.8%

Long Context

MRCR v2 (8-needle)26.6%自報

Math

LiveBench75.0%

Multimodal

OSWorld-Verified78.4%自報

Reasoning

CharXiv-R84.2%自報
MCP Atlas83.6%自報
Terminal-Bench 2.0Stanford × Laude Institute (2026)76.2%自報
ARC-AGI v272.1%自報
SWE-Bench ProPrinceton NLP (2024)55.1%自報
Humanity's Last Exam40.2%自報

Vision

MMMU-Pro83.6%自報

AA 評測指數

(Artificial Analysis)
Tau2(Sierra + U Toronto + Vector Institute (2025))
95.3
Gpqa(NYU + Cohere + Anthropic (2023))
92.2
Terminalbench V2 1
78.7
Ifbench(Google Research (2023))
76.3
Lcr(Artificial Analysis)
73.3
Coding Index(Artificial Analysis)
70.1
Scicode(UIUC + Argonne National Lab (2024))
53.9
Hle(Center for AI Safety + Scale AI (2025))
42.7
Terminalbench Hard(Stanford × Laude Institute (2026))
40.9
Intelligence Index(Artificial Analysis)
32.6
Tau Banking
32.2
Terminalbench V4 0
6.6

LLM Stats 分類評分

(LLM Stats (zeroeval))
Multimodal
80
Spatial Reasoning
70
Tool Calling
70
Vision
70
Long Context
60
Math
60
Reasoning
60
Finance
60
General
60
Agents
60
Code
60
Legal
0

定價

輸入價格$1.5 / 1M tokens
輸出價格$9 / 1M tokens
混合價格(3:1)$3.375 / 1M tokens
快取讀取價格$0.15 / 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

4 個供應商

最便宜: Google最貴: Venice AI
供應商輸入輸出
1Google最便宜
$0
$0.00001
2DeepInfra
$0
$0.00001
3Neon
$1.5
$9
4Venice AI
$1.55
$9.45

比較該模型在不同 API 供應商之間的定價。

外部連結