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Llama 3.2 Instruct 11B (Vision)

MetaLlama开源权重Llama 3.2 Community License

描述

Llama 3.2 11B Vision Instruct is an instruction-tuned multimodal large language model optimized for visual recognition, image reasoning, captioning, and answering general questions about an image. It accepts text and images as input and generates text as output.

发布日期
2024-09-25
参数规模
10.6B
上下文长度
—
支持模态
image, text

能力雷达图

18
general
11
coding
13
reasoning
17
science
12
agents
90
multimodal

排行榜排名

领域#排名分数来源
代码能力榜596
9.0
AA
通用能力榜585
20.0
AA
多模态榜124
37.0
LS
科学能力648
11.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

General

MMLU73.0%自报

Math

MGSM68.9%自报
MATH51.9%自报
MathVista51.5%自报

Multimodal

MMMU50.7%自报

Reasoning

ChartQAMasry et al. (2022)83.4%自报
GPQANYU + Cohere + Anthropic (2023)32.8%自报

Vision

AI2D91.1%自报
DocVQADocVQA (2020)88.4%自报
VQAv2 (test)75.2%自报
MMMU-Pro33.0%自报

AA 评测指数

(Artificial Analysis)
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
51.6
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
46.4
Ifbench(Google Research (2023))
30.4
Gpqa(NYU + Cohere + Anthropic (2023))
22.1
Tau2(Sierra + U Toronto + Vector Institute (2025))
14.6
Lcr(Artificial Analysis)
12.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
11.0
Aime(MAA (Mathematical Association of America))
9.3
Hle(Center for AI Safety + Scale AI (2025))
5.5
Intelligence Index(Artificial Analysis)
5.4
Math Index(Artificial Analysis)
1.7
Aime 25(MAA (Mathematical Association of America))
1.7
Terminalbench Hard(Stanford × Laude Institute (2026))
0.8

LLM Stats 分类评分

(LLM Stats (zeroeval))
Image To Text
90
Language
70
Legal
70
Multimodal
70
Finance
70
Vision
70
Math
60
Reasoning
60
General
60
Healthcare
60
Physics
30
Biology
30
Chemistry
30

定价

输入价格$0.345 / 1M tokens
输出价格$0.345 / 1M tokens
混合价格(3:1)$0.345 / 1M tokens

速度

Tokens/秒14.8
首Token延迟1.34s
首回答延迟1.34s

供应商价格排行

供应商价格排行

1 个供应商

供应商输入输出
1Meta主要
$0.345
$0.345

比较该模型在不同 API 供应商之间的定价。

外部链接