Nova Pro

AmazonAmazonProprietary

描述

Amazon Nova Pro is a highly-capable multimodal model with state-of-the-art performance across text, image, and video understanding. It excels at core capabilities like language understanding, mathematical reasoning, and multimodal tasks while offering industry-leading speed and cost efficiency.

发布日期

2024-12-03

参数规模

—

上下文长度

300K

支持模态

image, text, video

能力雷达图

general

coding

reasoning

science

agents

multimodal

排行榜排名

领域	#排名	分数	来源
代码能力榜	426	20.0	AA
通用能力榜	446	29.0	AA
科学能力	447	29.0	AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

MM-Mind2Web

63.7%自报

Biology

GPQANYU + Cohere + Anthropic (2023)

46.9%自报

Code

HumanEvalOpenAI (2021)

89.0%自报

Economics

FinQA

77.2%自报

CRAG

50.3%自报

Finance

MMLU

85.9%自报

Frontend Development

VisualWebBench

79.7%自报

General

ARC-C

94.8%自报

IFEvalGoogle Research (2023)

92.1%自报

BFCL

68.4%自报

MMMU

61.7%自报

Grounding

GroundUI-1K

81.4%自报

Image To Text

DocVQADocVQA (2020)

93.5%自报

TextVQA

81.5%自报

Language

Translation en→Set1 COMET22

89.1%自报

Translation Set1→en COMET22

89.0%自报

BBH

86.9%自报

VATEX

77.8%自报

Translation Set1→en spBleu

44.4%自报

Translation en→Set1 spBleu

43.4%自报

SQuALITY

19.8%自报

Long Context

EgoSchema

72.1%自报

LVBench

41.6%自报

Math

GSM8k

94.8%自报

DROP

85.4%自报

MATH

76.6%自报

Multimodal

ChartQAMasry et al. (2022)

89.2%自报

AA 评测指数

(Artificial Analysis)

Intelligence Index(Artificial Analysis)

7.5

Math Index(Artificial Analysis)

7.0

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

0.8

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

0.7

Gpqa(NYU + Cohere + Anthropic (2023))

0.5

Ifbench(Google Research (2023))

0.4

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

0.2

Lcr(Artificial Analysis)

0.2

Scicode(UIUC + Argonne National Lab (2024))

0.2

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

0.1

Aime(MAA (Mathematical Association of America))

0.1

Aime 25(MAA (Mathematical Association of America))

0.1

Terminalbench Hard(Stanford × Laude Institute (2026))

0.1

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

0.0

LLM Stats 分类评分

(LLM Stats (zeroeval))

Legal

Structured Output

Image To Text

Instruction Following

Code

Math

Reasoning

Multimodal

Language

Finance

General

Healthcare

Tool Calling

Vision

Frontend Development

Agents

Economics

Physics

Biology

Chemistry

Long Context

Summarization

定价

输入价格$0.8 / 1M tokens

输出价格$3.2 / 1M tokens

混合价格(3:1)$1.4 / 1M tokens

缓存读取价格$0.2 / 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

2 个供应商

最便宜: Amazon最贵: Amazon Bedrock

供应商输入输出

1Amazon主要

$0.8

$3.2

2Amazon Bedrock

$0.8

$3.2

比较该模型在不同 API 供应商之间的定价。

外部链接

LLM Stats Artificial Analysis