Nova Lite

AmazonAmazonProprietary

描述

A low-cost multimodal model that is lightning fast for processing images, video, documents, and text.

發布日期

2024-12-03

參數規模

—

上下文長度

300K

支援模態

image, text, video

能力雷達圖

general

coding

reasoning

science

agents

multimodal

排行榜排名

領域	#排名	分數	來源
程式碼能力榜	479	14.0	AA
通用能力榜	466	26.0	AA
科學能力	489	23.0	AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

MM-Mind2Web

60.7%自報

Biology

GPQANYU + Cohere + Anthropic (2023)

42.0%自報

Code

HumanEvalOpenAI (2021)

85.4%自報

Economics

FinQA

73.6%自報

CRAG

43.8%自報

Finance

MMLU

80.5%自報

Frontend Development

VisualWebBench

77.7%自報

General

ARC-C

92.4%自報

IFEvalGoogle Research (2023)

89.7%自報

BFCL

66.6%自報

MMMU

56.2%自報

Grounding

GroundUI-1K

80.2%自報

Image To Text

DocVQADocVQA (2020)

92.4%自報

TextVQA

80.2%自報

Language

Translation Set1→en COMET22

88.8%自報

Translation en→Set1 COMET22

88.8%自報

BBH

82.4%自報

VATEX

77.8%自報

Translation Set1→en spBleu

43.1%自報

Translation en→Set1 spBleu

41.5%自報

SQuALITY

19.2%自報

Long Context

EgoSchema

71.4%自報

LVBench

40.4%自報

Math

GSM8k

94.5%自報

DROP

80.2%自報

MATH

73.3%自報

Multimodal

ChartQAMasry et al. (2022)

86.8%自報

AA 評測指數

(Artificial Analysis)

Math Index(Artificial Analysis)

7.0

Intelligence Index(Artificial Analysis)

6.7

Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))

0.8

Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))

0.6

Gpqa(NYU + Cohere + Anthropic (2023))

0.4

Ifbench(Google Research (2023))

0.3

Lcr(Artificial Analysis)

0.2

Tau2(Sierra + U Toronto + Vector Institute (2025))

0.2

Livecodebench(UC Berkeley + MIT + Cornell (2024))

0.2

Scicode(UIUC + Argonne National Lab (2024))

0.1

Aime(MAA (Mathematical Association of America))

0.1

Aime 25(MAA (Mathematical Association of America))

0.1

Hle(Center for AI Safety + Scale AI (2025))

0.0

Terminalbench Hard(Stanford × Laude Institute (2026))

0.0

LLM Stats 分類評分

(LLM Stats (zeroeval))

Structured Output

Image To Text

Instruction Following

Code

Legal

Math

Multimodal

Reasoning

Finance

General

Healthcare

Tool Calling

Vision

Language

Frontend Development

Agents

Economics

Long Context

Physics

Biology

Chemistry

Summarization

定價

輸入價格$0.06 / 1M tokens

輸出價格$0.24 / 1M tokens

混合價格(3:1)$0.105 / 1M tokens

快取讀取價格$0.015 / 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

5 個供應商

最便宜: NanoGPT最貴: Amazon Bedrock

供應商輸入輸出

1NanoGPT最便宜

$0.0595

$0.238

2Amazon主要

$0.06

$0.24

3OpenRouter

$0.06

$0.24

4Kilo Gateway

$0.06

$0.24

5Amazon Bedrock

$0.06

$0.24

比較該模型在不同 API 供應商之間的定價。

外部連結

LLM Stats Artificial Analysis