Gemini 3.1 Flash-Lite
GoogleGeminiProprietary
Описание
Gemini 3.1 Flash-Lite is the first Flash-Lite model in the Gemini 3 series. It is optimized for high-volume, latency-sensitive tasks like translation, content moderation, and classification. It delivers enhanced performance at a fraction of the cost of larger models, with 2.5x faster Time to First Answer Token and 45% increased output speed compared to 2.5 Flash. Supports text, image, video, audio, and PDF input with a 1 million-token context window.
Дата выхода
2026-03-03
Параметры
—
Длина контекста
1.0M
Модальности
audio, image, pdf, text, video
Радар способностей
24
general
36
coding
82
reasoning
55
science
10
agents
80
multimodal
Рейтинги
| Домен | #Место | Оценка | Источник |
|---|---|---|---|
| Агентные возможности | 138 | 29.0 | LS |
| Рейтинг кодинга | 208 | 53.0 | AA |
| Общий рейтинг | 239 | 51.0 | AA |
| Мультимодальный рейтинг | 51 | 45.0 | LS |
| Наука | 155 | 62.0 | AA |
Оценки бенчмарков (LLM Stats)
(LLM Stats (zeroeval))Agents
Finance Agent v2
30.0%
Legal Agent Benchmark
0.0%
Biology
GPQANYU + Cohere + Anthropic (2023)
86.9%Сам.
Factuality
SimpleQA
43.3%Сам.
FACTS Grounding
40.6%Сам.
General
MMMLU
88.9%Сам.
MMMU-Pro
76.8%Сам.
MRCR v2 (8-needle)
60.1%Сам.
Healthcare
VideoMMMU
84.8%Сам.
Math
Humanity's Last Exam
16.0%Сам.
Multimodal
CharXiv-R
73.2%Сам.
Индексы оценки AA
(Artificial Analysis)Coding Index(Artificial Analysis)34.7
Intelligence Index(Artificial Analysis)25.6
Gpqa(NYU + Cohere + Anthropic (2023))0.8
Ifbench(Google Research (2023))0.8
Lcr(Artificial Analysis)0.7
Scicode(UIUC + Argonne National Lab (2024))0.4
Tau2(Sierra + U Toronto + Vector Institute (2025))0.3
Terminalbench V2 10.3
Terminalbench Hard(Stanford × Laude Institute (2026))0.2
Hle(Center for AI Safety + Scale AI (2025))0.2
Tau Banking0.1
Оценки категорий LLM Stats
(LLM Stats (zeroeval))Physics90
Language90
Biology90
Chemistry90
Multimodal80
Reasoning60
Vision60
Math50
General50
Healthcare50
Long Context40
Factuality40
Grounding40
Finance30
Agents10
Legal0
Цены
Цена ввода$0.25 / 1M токенов
Цена вывода$1.5 / 1M токенов
Смешанная цена (3:1)$0.563 / 1M токенов
Цена чтения кэша$0.025 / 1M токенов
Скорость
Токенов/сек0.0
Задержка первого токена0.00s
Время до первого ответа0.00s
Рейтинг цен провайдеров
Рейтинг цен провайдеров
20 провайдеров
Самый дешевый: GoogleСамый дорогой: Cortecs
ПровайдерВводВывод
1GoogleСамый дешевый
$0
$0
2NanoGPT
$0.25
$1.5
3Abacus
$0.25
$1.5
4OpenRouter
$0.25
$1.5
5ZenMux
$0.25
$1.5
6Vivgrid
$0.25
$1.5
7Kilo Gateway
$0.25
$1.5
8SAP AI Core
$0.25
$1.5
9Poe
$0.25
$1.5
10AIHubMix
$0.25
$1.5
11Vercel AI Gateway
$0.25
$1.5
12LLM Gateway
$0.25
$1.5
13Vertex
$0.25
$1.5
14NEAR AI Cloud
$0.25
$1.5
15OrcaRouter
$0.25
$1.5
16Merge Gateway
$0.25
$1.5
17Pioneer
$0.25
$1.5
18Ofox
$0.25
$1.5
19Impossibl
$0.25
$1.5
20Cortecs
$0.272
$1.631
Сравнение цен разных API-провайдеров для этой модели.