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Llama 3.2 Instruct 11B (Vision)

MetaLlama開源權重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.

發布日期
2024-09-25
參數規模
10.6B
上下文長度
—
支援模態
image, text

能力雷達圖

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

排行榜排名

領域#排名分數來源
程式碼能力榜589
9.0
AA
通用能力榜580
20.0
AA
多模態榜123
37.0
LS
科學能力641
11.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

General

MMLU73.0%自報

Math

MGSM68.9%自報
MATH51.9%自報
MathVista51.5%自報

Multimodal

MMMU50.7%自報

Reasoning

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

Vision

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

AA 評測指數

(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 分類評分

(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

定價

輸入價格$0.345 / 1M tokens
輸出價格$0.345 / 1M tokens
混合價格(3:1)$0.345 / 1M tokens

速度

Tokens/秒13.8
首Token延遲1.40s
首回答延遲1.40s

供應商價格排行

供應商價格排行

1 個供應商

供應商輸入輸出
1Meta主要
$0.345
$0.345

比較該模型在不同 API 供應商之間的定價。

外部連結